Label hours-long videos without cutting them into images. In your browser, with multi-track timeline, built-in object tracking and segments tagging tools.
Supervisely offers the same set of handy annotation instruments from our image labeling toolbox — tailored to solved video specific task.
Apart from many other labeling software, Supervisely lets you work with your video files without cropping them into images first.
To archive this, we designed a video player, capable of handling hours-long videos, yet precisely switching between individual frames right in your web browser.
A single one-hour video contains about a hundred thousand frames. Cutting such a video into individual images has countless disadvantages, comparing to our approach:
Start annotation immediately after uploading or just connect your existing cloud storage and access any of your videos.
Navigating on your video is as fast as in your desktop player. Quickly check labeling quality or navigate easy.
Built from scratch, Supervisely has annotation objects that can contain multiple instances from different frames.
Having full set of frames, you can precisely track or tag objects on long segments and be sure your neural network will train on the same picture your labelers has annotated.
Before you can start labeling, you need to convert video to individual images which can take quite a long time.
Even if your internet and server are very fast, you won’t be able to load 30 images per second. Well, that‘s what video is for, right?
In many other labeling tools you need to introduce a new ID and assign it to instances of the same object.
When you cut video in frames you will inevitable have different output, especially if you decide to skip even Nth frame, which you will probably have to do with long videos.
It’s easy to get frustrated with thousands of frames and objects labeled.
Video timeline panel provides overall structure, answers questions like what is already labeled and simplifies editing tag segments and tracked objects.
Locate one or multiple objects of interest in each frame of your videos with built-in object tracking algorithms. Supervisely provides automated tools to assign a unique ID to each tracked object and produce accurate bounding boxes or even instance segmentation masks.
Choose between carefully picked state-of-the-art trackers or integrate your own algorithm without any special knowledge.
Get accurate pixel-wise segmentation masks for your objects of interest across for each frame of your video.
While AI tracking algorithms can be of incredible help, there is still a lot of manual work to do, and we have introduced various features for you.
Video labeling does not end with object tracking and instance segmentation: we provide an essential toolset for video tagging of frames with various information, such as “what’s going on here”.
Supervisely video labeling toolbox is packed with various optimizations and well-tuned for simultaneous annotation of hundreds of people.
Browsers doesn’t support formats like avi or mov, but Supervisely does with on-fly video stream transcoding.
Achieve millisecond loading timings with Cloudflare, Amazon CloudFront or Google Cloud CDN.
We have various settings to enable labeling even on slow computers and slow internet connection.
While AI tracking algorithms can be of incredible help, there is still a lot of manual work to do, and we have introduced various features for you.
Apart from usual tools like rectangle or brush, Supervisely comes with “smart” labeling tools based on a collection of class-agnostic neural networks that can be further trained on your data.
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Neural network in the core of the smart tool can be re-trained to better fit your very unique case and produce unprecedented results with just a little bit of extra data.
Smart tool is class-agnostic — it was not trained to capture specific objects, but rather any forms that stand out.
With Supervisely Apps it's easy to build custom UIs for any task. Implement logic with Python and create comprehensive interfaces using our library of widgets, without worrying of deployment, integration, format conversion and other boring things.
Learn moreBecause Supervisely is built like OS for computer vision, we made possible integration of the best machine learning models and tools on a single platform.
You will find a well-known projects from data science community, as well as our own Apps, providing a complete solution for entire AI development pipeline.
Configure every aspect of training from target classes to online augmentations, monitor metrics and terminal logs in real-time.
Dashboard to configure and monitor training
Understand how your model works on ground truth and new data and find how to correct negative output and increase performance.
Detailed statistics for all classes in images project
Generate synthetic datasets that drastically improve model results, especially when there is not enough ground truth.
Generate synthetic data: flying foregrounds on top of backgrounds
Perform all the necessary actions on your data, from importing and converting to skeletonization of masks and rasterization.
Configure, preview and split images and annotations with sliding window
Focus on labeling and let Supervisely do the rest.
Easy import and export, workspaces, backups, data insights and statistics
Teams with role-based access, issue tracking, comments, notifications
Avoid mistakes and don’t lose time with multi-level quality assurance process
Avoid mistakes and don’t lose time with multi-level quality assurance process
Collaborate together with your team to transform existing assets into labeled data, trained models and deployed solutions. Supervisely helps to organize work of different professionals: labelers, data scientists, domain experst, managers and engineers.
A video is worth a thousand words, don’t you think?
The list of features does not end here as we constantly extend Supervisely with applications, that improve both labeling and management of videos.
Learn about Supervisely Apps
Creates video from images in dataset with selected frame rate and configurable label opacity
The number of objects, figures and frames for every class for every dataset
Synthesize videos on annotated data
Constantly growing ecosystem of hundreds of ready-to-use apps that extend and add new functionality.
Learn about EcosystemImpressed by what you just read, but want to label other type of data? Check what else we have!
A fully customizable AI infrastructure, deployed on cloud or your servers with everything you love about Supervisely, plus advanced security, control, and support.
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We use Supervisely since 2019. The key advantage of this tool is that Supervisely provides a complete data treatment pipeline. An important advantage is that a Supervisely instance can be deployed autonomously on a Client infrastructure, and distributed on different servers.
It helps to treat enterprise’s internal and often confidential data in a secured way. Together with a user-friendly interface, a clear documentation and a friendly and reactive support team it helps us to do Data Scientist work better and faster.
BMW Group is using the Supervise.ly solution to create automated verifications for ensuring a very high product quality across the whole production chain in vehicle and vehicle component manufacturing.
BMW Group uses Supervise.ly to annotate manufacturing images from production lines in their world-wide plants for enhancing quality inspections using deep learning. The Supervise.ly tooling also supports the process for continuously updating AI models using semi-automated labeling.
Supervise.ly is integrated into the BMW Group AI Platform in order to empower computer vision based AI use cases.
We’ve been working together with Supervisely since 2020, and we have helped each other to grow rapidly and significantly.
Supervisely’s team has been incredibly fast and agile in taking on board our requirements and implementing useful, up-to-date computer vision functionalities. In addition, we appreciate the openness and scalability of their ecosystem combined with the Python SDK and API. So far, we have been very satisfied with the platform and the incredibly responsive team.
Working with Supervise.ly has significantly enhanced our capability to develop AI models for lung CT scans. What sets Supervise.ly apart is its exceptional support team who are really responsive and adapt to our unique needs with a range of apps and helper files.
Their team has developed updates driven by our specific user feedback, making Supervise.ly a critical component of our research ecosystem in generating the specific labels we need to provide AI-driven solutions. We are immensely grateful for their pivotal role in our work.
We originally set out to look for tools that could help us with data annotation, and we discovered that Supervisely excels at that and much more. It has become an integral part of our workflow in annotation, model training, and evaluation.
We've been exceedingly impressed with the customer support, addition of new features, and the flexibility of the publicly available SDK/API. The Supervisely team has also been fast to respond to support questions, and has shown a lot of openness when given feedback on potential improvements.
We have been using Supervisely for a few years now to help label and organize our data for AI training. The interface is user-friendly and the tools are intuitive to use, which has made the annotation process much more efficient for our team. We run Supervisely locally, which allows us to stay in control of our data. We also use Supervisely for annotation reviews, and the review tools have been invaluable in ensuring the quality and accuracy. The Python SDK has also been incredibly helpful in automating and streamlining our workflow. In addition, the support team on Slack has been extremely helpful and responsive. The ability to collaborate with my colleagues on the same project has also been a huge time-saver.
Overall, we have been extremely satisfied with Supervisely and would highly recommend it to anyone in need of a reliable and efficient annotation solution.
Supervisely provides first-rate experience since 2017, longer than most of computer vision platforms over there.
Join community of thousands computer vision enthusiasts and companies of every size that use Supervisely every day.
Our online version has over a 220 million of images and over a billion of labels created by our great community.
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