Native Mac App
Build object detection datasets. No Python required.
Import images or video, annotate with bounding boxes, and export YOLO-format datasets — all in one fast, native macOS app.
Import images or video, annotate with bounding boxes, and export YOLO-format datasets — all in one fast, native macOS app.
A complete pipeline in one app — no scripts, no terminal, no setup.
Drag in images or extract frames from video. Built-in blur detection filters out unusable frames automatically.
Draw bounding boxes and assign class labels. Keyboard shortcuts make annotation fast — even across hundreds of images.
One click to export a YOLO-format ZIP with automatic train/val split, ready for any training platform.
Train on Roboflow, Colab, or Create ML. Import your model back to speed up future annotation with AI-assisted detection.
Every feature designed around what ML practitioners actually need.
Import your trained CoreML model and get automatic detection suggestions. Each round of annotation gets faster as your model improves.
Extract frames from any video at your chosen FPS. Laplacian blur detection automatically skips unusable frames, saving hours of manual cleanup.
Arrow keys to navigate, C to confirm, D to delete, S to skip. Designed for annotating hundreds of images without touching the mouse.
Export standard YOLO-format datasets compatible with Roboflow, Google Colab, Create ML, Ultralytics, and more. No vendor lock-in.
Wherever you need custom object detection, VideoML gets you there faster.
Download VideoML free on the Mac App Store.