YOLO Training Template

Manual data labeling has become significantly more convenient. Now the process looks like in the usual labeling systems - you just outline the object with a frame and a bounding box is immediately created.

The platform allows:

• to upload your own dataset
• to label manually or auto-label via DINOv3
• to enrich the data if desired
• to train a #YOLO model on your own data
• to run inference immediately
• to export to ONNX or NCNN, which ensures compatibility with edge hardware and smartphones

All of this is available for free and can already be tested on #GitHub.

Repo:
https://github.com/computer-vision-with-marco/yolo-training-template

👍 Top Channels on Telegram 🌟