Groups. With advanced tooling and QA, ML and automation features, data curation, robust SDK , offline access, and integrated annotation services , the platform enables ML teams to build incredibly accurate datasets 3-5x faster. Object detection is a pivotal aspect of computer vision that involves identifying and locating specific objects within an image or video frame. Magic Select (SAM) Magic Box (OCR) Magic Polygon. SuperAnnotate for sports Machine learning empowers coaches, referees, sport professionals and even sponsoring brands to achieve unparalleled control over the games and sporting events. It contains 60 video clips and 21,646 corresponding ground truth maps with pixel-wise annotation of salient objects. Step 1: Begin. Product. The new feature makes the video upload as effortless as possible and is an important cornerstone of the video annotation process itself. Here’s a peek at what you can look forward to: AWS bucket’s folder structure replication;SuperAnnotate Python SDK is available on PyPI. With advanced tooling and QA, ML and automation features, data curation, robust SDK , offline access, and integrated annotation services , the platform enables ML teams to build incredibly accurate datasets 3-5x faster. The linked texts are displayed in SuperAnnotate, but they aren't stored in our local servers. Pastel is an easy-to-use image annotation platform developed for marketing agencies and creative professionals that need to streamline their proofing process. Thousands of people are using the. Here are the list of SuperAnnotate URLs. A panoptic segmentation task provides us with a clear and detailed output regarding the entire scene of an image or real-time video. Image annotation can be understood as the process of labeling images to outline the target characteristics of your data on a human level. Tiled Imagery Editor. To speed up the procedure of image annotation, SuperAnnotate was adopted. Streamline your image annotation process with our magic tools. fire detection. If the item was added via an integration, the value is the integration storage’s path. Apply. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. Annotation quality increased due to a feature-packed toolset. Learn more. 📘To move around an image. Project contributor ro. Understanding computer vision. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. Here at SuperAnnotate, we strive to use state-of-the-art computer vision technology to automate and accelerate the creation of pixel-perfect annotations. So the YOLO algorithm and the zoo of its state-of-the-art modifications are a happy medium. Increased operational efficiency, and automated workflow. Thanks to V7, the image annotation is 30% faster, and. Form Label. non-practitioners. The explanation will be based on the following example: The annotations JSON in a Image Project contains four main fields: metadata, instances, tags, and comments. The company has 38 full-time employees, and Petrosyan would like to see it hit about 50 by the end of the year. Faster time to model. The selection criteria was. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and. 02. If you are interested in our Academic offer, please submit the form on this page. Training dataset accuracy increased by 2x. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. Time is an indisputable incentive when it comes to project annotation. SuperAnnotate Desktop is closing this gap by providing the fastest all-inclusive tools for computer vision engineers to complete their annotation tasks. 1,559 likes · 10 talking about this · 69 were here. The fastest annotation platform and services for training AI. 6. Computer vision plays a crucial role in the drone industry, as it is in charge of the classification process, object detection, and tracking process when the drone is flying up in the air. This makes it easier to hover over objects and check the distinct classes for each one. ”SuperAnnotate, a NoCode computer vision platform, is partnering with OpenCV, a non-profit organization that has built a large collection of open-source computer vision algorithms. the original target population, you’re dealing with population bias. JSON{ "metadata": {}, "instances": [], "tags". The software offers flexible editors and powerful automated workflow controls for data management pipelines. SuperAnnotate supports SAML 2. Computer vision systems analyze an array of visuals from images to real-time footage and can track, label, describe, predict, and assess particular. Need help? Go to our support community to find answers, ask questions, and help your peers make the best of SuperAnnotate. . Click Upload. use the SuperAnnotate Human Feedback Editor). Installation. Note that users with pending invitations are also counted as team members. SuperAnnotate is a company that develops an artificial intelligence software designed to offer data annotation services. 2. LLMs are getting smarter and quantization algorithms are making those LLMs to be trained on smaller and smaller resources. SuperAnnotate provides interlinked annotation and QA processes within the same platform. Base10 Partners Base10 is an early-stage venture capital firm investing in the automation of the real economy. What you'll need. Annotating videos is more complicated and labor-intensive, as the target object is in motion. This is the 3rd article in our list of. SuperAnnotate allows you to create high-quality training datasets for various computer vision tasks, including object detection, instance, and semantic segmentation, keypoint annotation, cuboid annotation, and video. Or. Platform. From the result, we understand whether or not the identity of the person precisely matches anything from an existing database. In this article, I would like to present our implementation of 2 active learning algorithms ( [1], [2]) and their usage in SuperAnnotate's platform, share the code and some benchmarking data. View the status of all your items and projects to track their progress. From manufacturing to healthcare, robotics uncovers new possibilities for nearly each and every industry we work in. SuperAnnotate is a potent annotation application that enables users to quickly and accurately annotate photos and videos. SuperAnnotate python SDK is available on PyPI: pip install superannotate. Trained on domain-specific datasets: By their nature, language models can’t perform enterprise-specific tasks. If you are interested in requesting a demo, please submit the form on this page. 3yr ago. Lay a solid foundation for successful project execution by providing your team with detailed project instructions. . AdSign in to your account Sign in with Google Sign in with SSO Or Email * Password * Forgot password?SuperAnnotate is a company that offers a fast and easy way to annotate, manage, and automate AI projects using computer vision. In its broader definition, it enables robots and other machines to see. With advanced annotation and. When trying to scale annotation pipelines, teams face substantial challenges in creating, managing, and maintaining the constant inflow of high-quality training data within their computer vision pipelines. Go to the Downloads tab in FineTune. The pixels of the digital image are taken and grouped into what we know as “classes. 03. Product. Computer vision solves many insurance-specific problems, check out the top 6 use cases and learn how to automate. Create projectTo create a project:Pythonsa. Annotation software. At SuperAnnotate, we provide a multitude of tools for the entire pipeline to obtain high-quality training data. LiDAR systems are used in a variety of applications, including autonomous vehicles, aerial mapping, surveying,. Introducing SuperAnnotate’s collection of magic tools that enable faster and more accurate annotations for a wide range of AI applications. json” belonging to the instance’s corresponding class, or -1 if the instance is not classified). Best known as “smart” appliances from smart homes to smartwatches. You can cancel the preparation stage by clicking Cancel instead. SuperAnnotate will have read-only access to your data; your items are stored in your. Best known as “smart” appliances from smart homes to smartwatches. CNNs are a class of deep, feed-forward artificial neural networks most commonly applied to analyze visual imagery, though their applications have transcended into several other domains as we will learn later on. However, a robust team, project, data itself, and quality management system are crucial as well, especially when it comes to larger projects. To disapprove an instance: Find the instance in the right panel. Select components from the left panel to begin building your formRelease date: May 22, 2022. SuperAnnotate. This one is an open-source online ML experiments database for sharing and organizing data with ML engineers and researchers. SuperAnnotate now has a Point Cloud Editor (LiDar)! You can get a detailed view of your 3D point data and create accurate annotations for even the most challenging use cases. Computer vision for drones also enables them to capture and identify obstacles in real-time and dodge any possible collisions. Get detailed information on the performance of your annotation team as well as your dataset's health. SuperAnnotate is addressing those problems with the first of its kind end-to-end application development platform for computer vision. Platform. SuperAnnotate is the end-to-end image, video, and document annotation platform to annotate, train, and automate your AI pipeline. SuperAnnotate’s platform, for richer tooling and more accurate annotations. Better AI unlocks a better world, yet there are countless companies and individuals running the same race as you to own the keys for that world. Through its robust platform and comprehensive managed services, it enables an increasing number of innovative organizations to utilize its tools in the creation of cutting-edge AI products. Our patented technology improves pixel accuracy for computer vision projects to help companies gather high-quality training data. Product updates: June 12, 2022. JOB ANNOUNCEMENT - IMAGE ANNOTATOR Are you interested in working with a company that is at the cutting edge of machine learning to improve AI computer. This works with the following attribute group types only: Single selection and Multiple selection. Choose the annotation tool from the drop-down menu. As human-centered AI introduces behavioral science to technology, developers and product designers can tap into user behavior and unconscious patterns to build products tailored to. Leadership: Very talented, accessible and empathetic. After the download is prepared, click Download. Annotating text in invoices or in financial documents is a much different task than common object detection or semantic segmentation. Register to attend. Text Project - Export annotation format. The architecture and pipelines for building new multimodal LLMs and an ensemble of collaborative LLMs are becoming increasingly complex. SuperAnntotate’s May 1, 2022 updates are up. The following screenshot shows the list of default attributes. The platform features an attractive toolkit for labeling data and building simple automation for data management pipelines. Let us know whether you agree once you check it out. Speeding up and automating annotations. Product updates: October 23, 2022. Dota 2 is a top-rated game with a World Championship total prize pool of 45 million US dollars for 2022. Tree of Thoughts is an example of such custom. 1. SuperAnnotate is the world’s leading platform for building the highest quality training datasets for computer vision and NLP. SuperAnnotate’s Data Curation and QA systems were key parts of the SuperAnnotate platform for Hinge Health. . 12x. . Lay a solid foundation for successful. Can I integrate my cloud storage with SuperAnnotate?Yes, you can create an integration with SuperAnnotate to add items from your cloud storage(s) to SuperAnnotate. Computer vision is being used in numerous fields and is expected to grow into a $48. Annotation toolsThe Image Editor has 8 annotation tools: Point, Polyline, Polygon, Bounding Box, Rotated Box, Ellipse, Cuboid, and Magic Box (for OCR). Apply. Or. Create projects, set up integrations, upload annotations, run predictions, filter and download datasets, and more. SuperAnnotate won a “Startup of the Year” award given by the president of Armenia in December. However, SuperAnnotate’s tool allows you to train the model with your data. SuperAnnotate python SDK is available on PyPI: pip install superannotate. See how you can increase model accuracy. In this article, we'll delve into the world of embeddings in machine learning, algorithms, and their role in similarity search. Machine learning completely remodels the insurance industry and provides tools to automate lengthy paperwork, minimize claims leakage and even detect risky or fraudulent events. 6 billion industry by 2022. Upload annotations to migrate your work from one project to another or from another platform to SuperAnnotate and continue where you left off. 9 min/scan. 03. LLM use cases in SuperAnnotate. More than 21. Our users prefer SDK integration as it minimizes manual processes, reduces workflow complexity, and helps complete tasks way faster than existing alternatives. Within each image under the QA mode, the annotator/manager can visually see all the classes and attributes directly on the image canvas. Fighting from space. Use Python SDK to create projects, set up integrations, upload annotations, run predictions, filter and download datasets, and more. For that, you need to enable CORS in your storage or enable the CORS Unblock extension. At SuperAnnotate we develop new features, integrate new functionalities, improve existing tools, and release the changes regularly at the end of each development cycle. 12 min. Scribble or draw a line on an object. The move means startups and entrepreneurs will be able to build their own AI models and allow cameras to detect objects using machine learning. SuperAnnotate, a NoCode computer vision platform, is partnering with OpenCV, a nonprofit organization that has built a large collection of open-source computer vision algorithms. csv", annotation_status = "QualityCheck") superannotatecli attach-image-urls --project “Project. A text editor. Did we mention that it’s free? You can also filter your images by classes. Sentiment analysis lies at the intersection of linguistics, computer science, and artificial intelligence. annotator_email: The assigned annotator’s email address. Item and project status. SuperAnnotate and the pre-annotation use case. For more information about components and value types, please refer to the component descriptions. 60%. Join hundreds of leading companies who build super high-quality training data up to 5x faster using SuperAnnotate’s intuitive data curation and robust project management features. Web Server for Chrome, or your own web server of choice. You can create object classes and, by adding them. It considers the analysis of a variety of data from audio to visual and then later utilizes that information to execute different processes. In the code editor, you can use following custom functions: getValue (path: List [Union [str, int]]) - Returns the current value of the component by the provided path. SuperAnnotate develops accurate artificial intelligence (AI) models with a data infrastructure platform and integrated annotation services. Approve/Disapprove items and instances. VOT2016 is a video dataset for visual object tracking. Roles. Train, iterate, improve, and deploy. To build a quality CV project, it’s important to quickly annotate, train, and iterate the data. In the context of machine learning, diffusion models generate new data by reversing a diffusion process, i. e. Appen is a leading data annotation platform that offers auto-labeling features and a wide range of annotation tools. “The curation tool/Explore has improved a lot in just the last year, and it is awesome! The efficiency of the QA workflow and the ability to review data and take actions in bulk saves us a tremendous amount of time, speeding up. Cutting-edge technology: SuperAnnotate is at the forefront of AI. We may share your personal information with third-party sub-processors that provide services on our behalf or help us operate the Services (such as customer support, hosting, analytics, email delivery, marketing, and database management services). The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. The image annotation market is estimated to be worth $1. SuperAnnotate integrates the Segment Anything Model (SAM) May 10, 2023. Annotation quality is especially critical when it comes to insurance. 03. Industry: Healthcare. View the status of all your items and projects to track their progress. If your project. Custom pricing is available as well as starter, pro and enterprise plans. SuperAnnotate's software focuses on 5 components of the AI lifecycle, including data labeling, AI dataset management, AI model management, automation, and annotation service marketplace. Now, identifying objects in raw data sounds all sweet and easy in theory. Forecast Period. Import images, videos, documents, and annotations from your computer or cloud storages such as AWS, Google Cloud, Microsoft Azure, and more. SuperAnnotate is a super-powerful application that offers pixel and vector editors, object prediction capabilities, automatic file distribution, and accurate file management. SuperAnnotate is the all-in-one AI data infrastructure platform that helps Machine Learning and data teams save time on building accurate AI models with the highest quality training data — SuperData. 02. Alumni of Berkeley's SkyDeck accelerator. D. SuperAnnotate. Installation. Encryption in transit All requests to SuperAnnotate must be made over the Transport Layer Security protocol (TLS). According to Grand View Research, the global computer vision market size was valued at $11. As a part of that effort, several smart pre-annotation algorithms were integrated into the platform, allowing our users to fix the auto-generated annotations, instead of starting from scratch. Automated machine learning helps to automate all stages of a data science workflow including data preparation, feature engineering, model selection, and hyperparameter optimization. SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. SuperAnnotate for robotics. Various alternatives pricing & plans. The result is then used to train a model and, depending on the quality of your data, achieve the desired level of accuracy in computer vision tasks. Email * In addition to the top 15 computer vision books, we've gathered a list of the most popular computer vision libraries in this article to help you get started. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. SuperAnnotate is a tool to annotate, train, and automate your AI pipeline with image, video, and document data. This was a major motivation for the company" In this example, "company" is used to refer to "SuperAnnotate", thus. SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. Release date: March 20, 2022. get_annotations( project = "Project Name", items = ["item_name. SuperAnnotate can help Enterprise users install an on-prem infrastructure on their hardware to use their data stored in local storages. Get up to 200 hours of GPU training and create the highest-quality datasets with SuperAnnotate. In this whitepaper, we concentrated on active learning algorithms, which help deep learning engineers select a subset of images from a large unlabeled pool of data in such a way, that obtaining annotations of those images will result in a maximal increase of model accuracy. Bug issues. 9 Million. SuperAnnotate has an advanced desktop app now where you can create projects, assign classes, and annotate images on the vector editor. The package officially supports Python 3. The new round of funding will be used to expand SuperAnnotate’s engineering, sales and marketing teams. SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. It is a powerful piece of data that is massively used in artificial intelligence and turned into the hottest topic nowadays - large language models. Natural language processing (NLP) techniques. Image annotation is the process of selecting objects in images and labeling them by their names. Everyone from researchers to startups to enterprises all over. Revolutionizing computer vision learning and research. At SuperAnnotate, we provide a multitude of tools for the entire pipeline to obtain high-quality training data. . Specialists ranked Amazon’s Just Walk Out technology at around $1 million. On the tech side, the new funds will go toward building out more tools for video annotation, 3D tools and machine. 7+ and was tested under Linux and Windows ( Anaconda ) platforms. Why did we start SuperAnnotate?. In the context of machine learning, diffusion models generate new data by reversing a diffusion process, i. Unfortunately, many annotation tools and platforms lack these features, and that’s why SuperAnnotate. Our users prefer SDK integration as it minimizes manual processes, reduces workflow complexity, and helps complete tasks way faster than existing alternatives. With advanced annotation and QA tools, data. Who we are. View. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK,. 🚧. 03. Decrease the QA time spent per video due to smoother navigation. Contact us for more information. To use the common annotation formats, you need to convert the annotations to the SuperAnnotate annotation format first. Built by CV researchers, SuperAnnotate aims to democratize the access of building, training, and deploying CV models for real-life applications. Training this kind of large, complex model, however, requires a robust data annotation workflow with quality management measures and smooth iteration cycles. Video or Audio Project - Import annotation format. October 30, 2023. SuperAnnotate Desktop. of Pages. When you visit or interact with our pages on those platforms, the platform provider’s privacy policy will apply to your interactions and their collection, use, and processing of your personal information. Apply now to get your free credits. 4 min. Tool #3: Pastel. Data labeling is a stage in machine learning that aims to identify objects in raw data (such as images, video, audio, or text) and tag them with labels that help the machine learning model make accurate predictions and estimations. Suggest Edits. SuperAnnotate offers a cloud-based solution, making it a flexible choice for businesses of all sizes. The evolution of computer vision. On-prem data storage: Install an on-prem. More accurate labels. However, this kind of complex, sophisticated models require a robust data annotation workflow with quality management measures and smooth iteration cycles. Get SuperAnnotate for free if you’re a student or educator. . SuperAnnotate is the all-in-one AI data infrastructure platform that helps ML and data teams save time on building accurate AI models with the highest quality training data — SuperData. Empower your workflow with SuperAnnotate’s Python SDK, which offers seamless access to all UI functionalities at scale. Create an instanceThe Image (Legacy) Editor has 4 annotation tools: Polygon, Brush, Box, and Ellipse. Video or Audio Editor. Image (Legacy) Editor. Data curation. $0. Dataloop also offers tools for computer vision tasks like detection. Unfortunately, many annotation tools and platforms lack these features, and that’s why SuperAnnotate. Estimated Market Value (USD) in 2022. SuperAnnotate is a platform that helps you create, manage, and improve your custom GenAI models and data labels with high-quality training data and annotation services. create_project( project_name = "Project Name", project_description = "Project Description", project_type = "Vector") 📘Project typesImage Project: VectorImage (Legacy) Project: PixelVideo Project: VideoText Project: TextTo create a Video Project and set the. 5. SuperAnnotate will have read-only access to your data; your items are stored in your AWS S3 buckets and are only displayed in SuperAnnotate. Spilling the beans just a tiny bit, one way to automate uploading massive volumes of data is through SuperAnnotate’s SDK function. Everyone from researchers to startups to enterprises all over the world trust. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. September 21, 2023. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate. Simply said, modern deep learning operates networks with multiple layers (and the more layers, the ‘deeper’ the network) where the output of one level is the input for the other. Semantic/Instance Segmentation. GPU instances. The use cases of AI-enabled computer vision are nearly countless. Installation #. For more detailed installation steps and package usage please have a look at the tutorial. LLMs and GenAI Queries. The organizations worked together to annotate data collected from Prairie’s Beta Partners. Read on to find out more about them. 0 single sign-on with the following identity providers: Azure AD, Okta, Ping Identity, and more. SuperAnnotate is designed to feed quality data into. What's SuperAnnotate Neural Networks and how can I use it?The Neural Networks is an environment where you can create and train prediction models. №4: Prodigy. 00. Subscribe to receive new blog posts and latest discoveries in the industry from SuperAnnotate. Edge AI — Real-time data processing without the cloud or mandatory dependability on available Internet. Image (Legacy) Project - Import annotation format. V7 lets you automate your ML pipeline—annotate data, train models, and create ground truth faster. Sign in with Google Sign in with SSO Or Email * Password * Forgot password?#1 Video annotation software on G2 Trusted by 20% of Fortune 50 companies 8 reasons why businesses choose SuperAnnotate Guaranteed quality Faster execution Tailored. ) In this codelab, you’ll learn how to add push notifications to your web app. The procedure can be broken down into two phases: explorative, when the algorithms explore patterns, and descriptive, when algorithms group and attribute the found patterns to the initial data. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. Subscribe to receive new blog posts and latest discoveries in the industry from SuperAnnotate. The tool is designed to recognize and extract text from images, and then. Image annotation can be understood as the process of labeling images to outline the target characteristics of your data on a human level. Add a comment on an item to communicate mistakes and annotation requirements. Spilling the beans just a tiny bit, one way to automate uploading massive volumes of data is through SuperAnnotate’s SDK function. Why SuperAnnotate? Have complete visibility and gain full control over your projects, pipeline, and data with an industry-leading annotation platform and an integrated service marketplace. To import annotations to a Image Project, you need to import a JSON file of the annotations. Token for Python SDK. Robust tooling. Subscribe for new updates. The linked items are displayed in SuperAnnotate, but they aren't stored on our local se. The companies developing autonomous driving technologies heavily rely on machine learning to achieve greater goals and outdo the competitors. SuperAnnotate has a 14 day free trial. The first round of predictions using SuperAnnotate’s predictions model. However, training this kind of accurate and complex models require a robust data annotation workflow with quality management measures and smooth. You may be wondering exactly how to manage financial risks with. Many of these tasks have complex, pixel-accurate annotation requirements. SuperAnnotate offers end-to-end data management services for computer vision teams. Lay a solid foundation for successful. We will also publish another article covering our results on segmentation tasks. 03. Saturn Cloud Hosted Free. Yes, SuperAnnotate offers two types of tokenization: Basic Tokenization and Smart Tokenization. SuperAnnotate, was founded in 2018 by two brothers who dropped out of their machine learning PhDs from top European universities to build the fastest and smartest annotation. Monitor annotation trends, analyze model performance, track annotation time, and more. Add items with AWS integration. The platform is highly responsive and allows for quick changes and edits. The new Pipelines feature allows you to push real-time actions from SuperAnnotate to your application whenever a certain event occurs. SuperAnnotate provides comprehensive annotation tooling, robust collaboration and quality management systems,no-code neural network training and automation, as well as a data review and curation system to successfully develop and scale CV projects. You can also convert annotations from the SuperAnnotate format into Pandas DataFrame where each annotated instance is stored as a separate row: Python. Now, identifying objects in raw data sounds all sweet and easy in theory. Moreover, among the tools it provides, the “Smart Segmentation” option can guide. Subscribe to receive new blog posts and latest discoveries in the industry from. 7+ and was tested under Linux and Windows ( Anaconda ) platforms. This blog post covers all you need to know about. Item and project status. 4 min. Co-founder and CEO at SuperAnnotate. SuperAnnotate python SDK is available on PyPI: pip install superannotate. Download that folder. Let us know whether you agree once you check it out. You can cancel the preparation stage by clicking Cancel instead. Other image annotation medical use cases range from quantitative analysis for cancer cell detection to kidney stones,. 96%. Training dataset accuracy increased by 2x. Everyone from researchers to startups to enterprises all over. Generative AI’s abilities go beyond fun mobile applications and avatars, as they are now being used to create art pieces and design, produce code, write blogs, and generate all kinds of different high-quality content. The podcast comes to reveal the hype behind this state-of-art technology by introducing AI implementation examples in the real world for both mature and amateur audiences. Only classification models will be covered in the article, separate articles will follow for each subsequent task. SuperAnnotate is designed to. While inherently complex, pattern recognition involves analyzing the input data, extracting patterns, and comparing them against the stored data. We’re introducing two-factor authentication (2FA) as an added layer of security to user accounts. This video is f. Our platform leverages ML and workflow-based features to help companies increase annotation speeds by up to 10x, while dramatically improving the. With SuperAnnotate, you can export your annotations in two different annotation formats: SuperAnnotate and COCO. To export the data of a Image Projects and Image (Legacy) Projects in the SuperAnnotate format:. Simple features like scrolling and zooming, all the way to complex features like.