Detecto supports building and training computer vision models with the PyTorch machine learning framework.
LightlyTrain
LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision models.

About LightlyTrain
LightlyTrain is an open source Python package for training computer vision models, including YOLO, ViTs, RT-DETR and DINOv3. It supports pretraining DINOv2/v3 models on unlabeled data, fine-tuning transformer and YOLO models for detection and segmentation, and model distillation including custom teachers.
It installs with pip on Python 3.8+ for Windows, Linux and macOS, and includes ONNX and TensorRT export. Use at work, in production, on the edge, or for proprietary models likely requires a commercial license.
Key features
- Pretrain DINOv2 and DINOv3 models on unlabeled data
- Fine-tune transformer and YOLO models for detection and segmentation
- Distill models with support for custom teacher models
- Train LTDETRv2 detectors with DINOv2, DINOv3, ECViT backbones
- Train LTDETRv2 instance segmentation models with ECViT backbones
- Export trained models to ONNX and TensorRT including FP16
- Combines pretraining, fine-tuning, and distillation for vision models in one package
- Works with YOLO, ViTs, RT-DETR, DINOv2/v3 and ECViT backbones
- Installs with pip on Python 3.8+ for Windows, Linux, and macOS
- Work, production, edge, or proprietary use likely requires a commercial license
LightlyTrain at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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LightlyTrain FAQ
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