Image Annotation Tool
Kili Technology provides advanced image annotation tool that makes data labeling process fast and simple. Classify image and draw bounding box, polygon,polyline, or segmentation to complete object detection tasks. Perform Optical Character Recognition (OCR) to extract text from images to build your datasets. A highly customisable interface to combine tasks and increase your efficiency.
Our partners already deployed successfully thousands of AI projects into production thanks to Kili.
Image Labelling Software For Fast Annotation
Our image annotation tool works from identifying images to its classification and advanced object detection. Each image annotation interface is designed to increase labeling productivity and efficiency to help reduce your efforts. Also, each image labelling interface allows high composability to adapt to the specific needs of each case.
We cover all tasks such as image classification on single class, multiclass, dropdown for a long list, and hierarchical classification to manage complex ontologies. The point, polyline, polygon, bounding box, and segmentation tools are available.
File types: png or jpg.
Collaborative Image Annotation Platform
Kili Technology image labelling software is available online or on-premise tool, which facilitates collaboration between business experts, 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 for image annotation tasks.
Collaboration made simple between tech teams & annotators
Kili Technology labeling tool online for image, is designed to simplify collaboration: on-board business experts or external labeling workforce, build-in data governance tools, powerful data queue management distribution when you need to scale the labeling of a large volume of data.
Work on a solid image annotation platform
Kili Technology annotation 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. Kili Technology is designed as an open solution to the ecosystem: you can plug for instance Yolo (open source framework) to do transfer learning in order to speed-up the annotation process; Snorkel to implement weakly supervised learning strategies: it allows to combine simple approaches to build more relevant pre annotators, for instance a specific way to combine the output of 2 models. A Python API makes it even simpler for everyone.
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