First-Prize winner in the Core Track of the 2022 OpenCV AI Competition
Keypoints Studio is a desktop GUI for building YOLO pose datasets: auto-annotate image folders, preview and edit bounding boxes and keypoints, customize keypoint schemas (add/remove/reorder points), enable autosave while navigating, and export YOLO-pose .txt labels alongside images.
Python library for automatic CV dataset labeling - classification, detection, segmentation, VQA, OCR, feature matching with SOTA models.
✍🏽 Android application which enables the crowd to upload and peer review educational content and ML datasets
Self-hosted, video-first annotation for computer vision and edge AI teams.
A 100% offline, vanilla-JS invoice annotation tool with in-browser OCR (Tesseract.js). Draw tight boxes for buyer/seller/meta/line items; the app OCRs each region, writes values into your JSON at the correct paths, and exports updated data plus training artifacts (labels JSON, COCO, annotated PNG). No servers, no frameworks.
manual image labeller (with human level accracy 😉). diy
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