Video Annotation Tool
Video annotation software from Kili Technology enables your labelling process to be simple, quick, and convenient for your machine learning tasks. Detect and classify objects in your video with precision frame-by-frame. Create video transcriptions easily. Our robust platform allows your video labelling to run smoothly.
Our partners already deployed successfully thousands of AI projects into production thanks to Kili.
Efficient and Fast Video Labelling Tool
Kili Technology’s video annotation tool comes with a wide range of powerful features such as bounding box, polyline, segmentation and more. With the accelerated labelling speed, easily customisable interface and efficiency of launching shortcuts will make your tasks productive and hassle-free. Seamless navigation with powerful features will help you to enhance work quality during the labelling process.
For all tasks: Object classification in single frame and multi-frames, object detection in multi-frames, and video transcription. Point, polyline, polygon, bounding box and segmentation are available.
File types: mkv or mp4.
Master The Video Labelling With Quality
Kili technology’s video labelling software is available online or on-premise to facilitate collaboration with business experts or external workforce and data-scientists. Labelled data quality control is built-in thanks to simple & powerful tools: consensus analysis, honeypot, review and last but not least instructions.
Collaboration Tool That Empowers You
With Kili Technology’s video annotation software, now it is easy to onboard experts and offshore labelling workforce. With the built-in governance tool, you can assign roles to the resources and distribute tasks. Upscale your capacity of managing a large number of resources to assign a big value of data.
Work on a powerful video annotation platform
Kili tool is available online or on premise. We developed recipes, which are made open source on our Github for the community. These help to use our powerful GraphQL API to simplify interactions with the platform. We have a vision to design Kili video labeling tool to be an open source solution to the ecosystem: for instance the ability to plug-in external model or open source network to combine simple approaches and to speed up the annotation process. If you are unfamiliar with GraphQL API, we provide Python API that makes it even simpler for everyone.
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