Video Annotation Tool

With Kili Technology, our video annotation tool allows you to run all labeling tasks on videos: object detection, image segmentation, box annotation, track objects, image classification. And you can do them with a selection of tools: bounding boxes, polygons, semantic segmentation, and much more.

Video files are essential when training a machine learning model. If you are building computer vision projects, you need a video annotation tool to do data annotation on your video data. By using video annotation tools, you will be able to annotate a video and create high quality training data. You can then build a high-quality dataset of videos with all sorts of annotation, and use this dataset to train you computer vision model.

Kili Technology, as a training data labeling platform, supports labeling tasks on all asset types: image, videos, documents (pdfs), raw text, conversation, geospatial files, etc. On these assets, you can run all labeling tasks: image classification, video classification, bounding boxes, polygons, points, lines, object tracking, object detection, semantic segmentation, classification, named entity recognition, etc.

First, you can upload your videos in various formats to our platform. MP4, MOV, MKV, WEBM, even a YouTube video can be uploaded to our software natively. Then, you can use our various video annotation tools and key features to start data annotation. On our video editor UI, use semantic segmentation, bounding boxes or any other tool to add annotations.

Kili Technology platform is different because we put quality at the core of our product. Many low-cost labeling tools focus on improving labeling productivity, which we do as well, but disregard the focus on creating quality training data. For instance, you can inspect the data distributions of your annotation and detect mistakes. Kili Technology is a training data platform where the annotation process is dedicated to data quality.

Kili Technology as an image annotation tool is fully secure with a SOC2, ISO 27001 & HIPAA certification. We put a high priority on privacy preserving images, as well as any kind of protection against bias (perceived gender presentation, cultural and racial representation, etc). We also provide different deployment options to fit the data security needs of our customers. Note that data management options may vary depending on your hosting mode (Cloud or On-premise).

Kili Technology's API is accessible to our users. Therefore, you can connect your machine-learning model to generate pre-annotations. We also support segmentation tasks augmented with the Segment Anything Model (SAM) and any other foundation model with prompt engineering or segmentation model based on input prompts.

Kili Technology is not an open-source software. However, you can use our free plan to do image annotation and computer vision tasks, use our geospatial tools & segmentation masks, and do everything needed to output multiple valid masks & training data into powerful datasets and in the end, powerful segmentation models. Note that when using our free plan, you may not benefit from all our various tools at 100% of their capacity.