SkalskiP/make-sense

Health v2 · maintenance only

Adoption not part of the score

3562 stars · 587 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

makesense.ai is a free, browser-based tool for labeling photos to prepare datasets for computer vision projects. It runs entirely client-side with TensorFlow.js-powered AI assistance (SSD, YOLOv5, PoseNet) for suggesting annotations, and exports labels in multiple formats.

Use cases

• annotate images with bounding boxes for object detection training
• label photos for a small deep learning dataset without installing software
• export image annotations in Pascal VOC or YOLO format
• use AI-assisted auto-labeling to speed up image annotation
• label pose keypoints on images with PoseNet
• annotate images privately without uploading photos to a server

When to choose

• you need a quick, free, no-install image annotation tool for small-to-medium CV projects
• you want AI-assisted labeling that keeps your images on your device
• you need multiple export formats like Pascal VOC, YOLO, or CSV

When to avoid

• you need large-team annotation workflows with task assignment and quality control
• you require video or 3D/point-cloud annotation
• you need offline desktop tooling or heavy customization beyond a web app

Facets

application · maturity active

image-processing computer-vision machine-learning ui-components computer-vision image-processing deep-learning artificial-intelligence web-development browser cross-platform image-annotation labeling-tool object-detection bounding-boxes pascal-voc yolo posenet tensorflowjs react typescript dataset-preparation privacy-preserving web-server

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