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YOLOv8-16bit/ultralytics/models
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Ayush Chaurasia 341ce0ff3f
Add YOLOv3 and YOLOv5 model *.yaml files (#169) 		2 years ago
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v3 Add YOLOv3 and YOLOv5 model *.yaml files (#169) 2 years ago
v5 Add YOLOv3 and YOLOv5 model *.yaml files (#169) 2 years ago
v8 Add YOLOv3 and YOLOv5 model *.yaml files (#169) 2 years ago
README.md Add YOLOv3 and YOLOv5 model *.yaml files (#169) 2 years ago

README.md

Models HUB

Here are the models that are supported out-of-the-box with Ultralytics. For a detailed view and navigation, visit model hub section of the docs.

Usage

You can simply set the model parameter to any available yaml config or pretained weights

yolo task=... mode=... model=yolov5n.yaml
Model Version/ size (pixels) mAPval 50-95 Speed CPU b1 (ms) params (M) FLOPs @640 (B) model file Pretrained Weights
YOLOv5n v6.3 640 28.0 45 1.9 4.5 yolov5n.yaml -
YOLOv5s - 640 37.4 98 7.2 16.5 yolov5s.yaml -
YOLOv5m - 640 45.4 224 21.2 49.0 yolov5m.yaml -
YOLOv5l - 640 49.0 430 46.5 109.1 yolov5l.yaml -
YOLOv5x - 640 50.7 766 86.7 205.7 yolov5x.yaml -
YOLOv5n6 - 1280 36.0 153 3.2 4.6 yolov5n6.yaml -
YOLOv5s6 - 1280 44.8 385 12.6 16.8 yolov5s6.yaml -
YOLOv5m6 - 1280 51.3 887 35.7 50.0 yolov5m6.yaml -
YOLOv5l6 - 1280 53.7 1784 76.8 111.4 yolov5l6.yaml -
YOLOv5x6 + [TTA] - 1280 1536 55.0 55.8 3136 - 140.7 - 209.8 - yolov5x6.yaml -