v0.15.0

[0.15.0] - 2026-04-16

New Distillation Method and Custom Teacher Models: We release the new
Distillationv3
method that achieves better generalization across fine-tuning tasks and works better
with DINOv3 teacher models. The new method also supports using
custom teacher models

Added

• Add distillationv3 method for dense as well as global feature distillation.
• Add support for custom teacher models with distillationv3.
• Add support for the new
  EUPE models from Meta for all
  distillation, pretraining, and fine-tuning tasks. For example, use
  dinov3/vits16-eupe instead of dinov3/vits16 to load the EUPE pretrained ViT-S/16
  model. See the
  documentation
  for all supported models.
• Add Mosaic augmentation for LTDETR object detection training.
• Add CopyBlend augmentation for LTDETR object detection training.
• Add MixUp augmentation for LTDETR object detection training.
• Add logging of completed epochs to the console and the loggers.
• Add support for COCO object detection dataset format.
• Semantic segmentation now allows one to specify classes from a JSON file.

Changed

• Default distillation method is now v3 (previously v2), with a DINOv3 teacher instead
  of a DINOv2 teacher. Previous default still available with method="distillationv2".
• Make ScaleJitter in LTDETR step-aware. Now you can stop the augmentation by adding a
  step_stop args like the following
  transform_args={"scale_jitter": {"step_stop": 10000}}

Removed

• Remove StopPolicy and use ActivationPolicy instead for more fine-grained control
  over the step-aware augmentations.

What's Changed

• Distill from any model by @liopeer in #660
• Distill from custom models by @liopeer in #668
• Upper bound for rfdetr dependency by @liopeer in #669
• update EMA by @yutong-xiang-97 in #670
• Parse labels in YoloObjectDetectionDatasetArgs.list_image_info by @simonschoelly in #674
• Fix CUDA OOM by reducing feature map size by @liopeer in #676
• Add step-aware LTDETR scale jitter control by @yutong-xiang-97 in #675
• Add Step-aware MixUp Augmentation by @yutong-xiang-97 in #679
• Log Epochs in Console and Loggers by @yutong-xiang-97 in #680
• added version to tracker.py by @mrpositron in #682
• Add Step-aware CopyBlend Augmentation by @yutong-xiang-97 in #684
• Add coco object detection dataset by @simonschoelly in #677
• Bump min RF-DETR version to 1.4.1 by @simonschoelly in #688
• Add docs for COCO object detection dataset by @simonschoelly in #683
• Add mosaic transform and args - Part 1 by @yutong-xiang-97 in #690
• Distillationv3: Add convolutional detection heuristic by @liopeer in #678
• bump nbdev version by @yutong-xiang-97 in #695
• Apply Mosaic transform in ObjectDetectionTransform by @yutong-xiang-97 in #694
• Add EUPE support by @guarin in #696
• Refactor StopPolicy by @yutong-xiang-97 in #697
• Fix epoch calculation by @yutong-xiang-97 in #698
• Allow specifying classes from a json file for semantic segmentation by @simonschoelly in #699
• Document distillationv3 + make it default by @liopeer in #691
• Document EUPE Models by @guarin in #700
• Resolve default start and stop step based on total number of steps automatically. by @yutong-xiang-97 in #702
• Make ready for release of 0.15.0 by @liopeer in #704

New Contributors

• @mrpositron made their first contribution in #682

Full Changelog: v0.14.3...v0.15.0