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View article: ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support
ultralytics/yolov5: v6.0 - YOLOv5n 'Nano' models, Roboflow integration, TensorFlow export, OpenCV DNN support Open
This release incorporates many new features and bug fixes (465 PRs from 73 contributors) since our last release v5.0 in April, brings architecture tweaks, and also introduces new P5 and P6 'Nano' models: <…
View article: ultralytics/yolov3: v9.5.0 - YOLOv5 v5.0 release compatibility update for YOLOv3
ultralytics/yolov3: v9.5.0 - YOLOv5 v5.0 release compatibility update for YOLOv3 Open
This YOLOv3 release merges the most recent updates to YOLOv5 featured in the April 11th, 2021 YOLOv5 v5.0 release into this repository. This is part of routine Ultralytics maintenance and takes place on every major YOLOv5 …
View article: ultralytics/yolov5: v5.0 - YOLOv5-P6 1280 models, AWS, Supervise.ly and YouTube integrations
ultralytics/yolov5: v5.0 - YOLOv5-P6 1280 models, AWS, Supervise.ly and YouTube integrations Open
This release implements YOLOv5-P6 models and retrained YOLOv5-P5 models: YOLOv5-P5 models (same architecture as v4.0 release): 3 output layers P3, P4, P5 at strides 8, 16, 32, trained at -…
View article: ultralytics/yolov3: v9.1 - YOLOv5 Forward Compatibility Updates
ultralytics/yolov3: v9.1 - YOLOv5 Forward Compatibility Updates Open
This release is a minor update implementing numerous bug fixes, feature additions and performance improvements from https://github.com/ultralytics/yolov5 to this repo. Models remain unchanged from v9.0 release. Branch Notice The ultralytic…
View article: ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration
ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration Open
This release implements two architecture changes to YOLOv5, as well as various bug fixes and performance improvements. Breaking Changes nn.SiLU() activations replace nn.LeakyReLU(0.1) and nn.Hardswish() activations used in previous version…
View article: ultralytics/yolov3: v9.0 - YOLOv5 Forward Compatibility Release
ultralytics/yolov3: v9.0 - YOLOv5 Forward Compatibility Release Open
This release is a major update to the https://github.com/ultralytics/yolov3 repository that brings forward-compatibility with YOLOv5, and incorporates numerous bug fixes, feature additions and performance improvements from https://github.c…
View article: ultralytics/yolov3: v8 - Final Darknet Compatible Release
ultralytics/yolov3: v8 - Final Darknet Compatible Release Open
This is the final release of the darknet-compatible version of the https://github.com/ultralytics/yolov3 repository. This release is backwards-compatible with darknet *.cfg files for model configuration. All pytorch (.pt) and darknet (…
View article: ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements
ultralytics/yolov5: v3.1 - Bug Fixes and Performance Improvements Open
This release aggregates various minor bug fixes and performance improvements since the main v3.0 release and incorporates PyTorch 1.7.0 compatibility updates. v3.1 models share weights with v3.0 models but contain minor module updates (inp…
View article: ultralytics/yolov5: v3.0
ultralytics/yolov5: v3.0 Open
Breaking Changes This release does not contain breaking changes. Bug Fixes Hyperparameter evolution fixed, tutorial added (https://github.com/ultralytics/yolov5/issues/607) Added Functionality PyTorch 1.6 native AMP replaces NVIDIA Apex AM…
View article: ultralytics/yolov5: v2.0
ultralytics/yolov5: v2.0 Open
Breaking Changes IMPORTANT: v2.0 release contains breaking changes. Models trained with earlier versions will not operate correctly with v2.0. The last commit before v2.0 that operates correctly with all earlier pretrained models is: https…