All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Train computer vision models for tasks like object detection and segmentation using your own data.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeAll-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
lightly-train has 1.6k stars on GitHub. It has been forked 90 times. lightly-train is written mainly in Python. It has been in active development since 2025. lightly-train is available under the AGPL-3.0 license. Its main topics are computer-vision, contrastive-learning, deep-learning, depth-estimation.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
lightly-train is an open-source project. It is released under the AGPL-3.0 license.
Yes. lightly-train is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
lightly-train is available under the AGPL-3.0 license.
lightly-train is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lightly-ai-lightly-train.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.