Spaces:
Sleeping
Sleeping
| # YOLO Model Zoo | |
| Welcome to the YOLOv9 Model Zoo! Here, you will find a variety of pre-trained models tailored to different use cases and performance needs. Each model comes with detailed information about its training regime, performance metrics, and usage instructions. | |
| ## Standard Models | |
| These models are trained on common datasets like COCO and provide a balance between speed and accuracy. | |
| | Model | Support? |Test Size | AP<sup>val</sup> | AP<sub>50</sub><sup>val</sup> | AP<sub>75</sub><sup>val</sup> | Param. | FLOPs | | |
| | :-- | :-: | :-: | :-: | :-: | :-: | :-: | :-: | | |
| | [**YOLOv9-S**]() |✅ | 640 | **46.8%** | **63.4%** | **50.7%** | **7.1M** | **26.4G** | | |
| | [**YOLOv9-M**]() |✅ | 640 | **51.4%** | **68.1%** | **56.1%** | **20.0M** | **76.3G** | | |
| | [**YOLOv9-C**]() |✅ | 640 | **53.0%** | **70.2%** | **57.8%** | **25.3M** | **102.1G** | | |
| | [**YOLOv9-E**]() | 🔧 | 640 | **55.6%** | **72.8%** | **60.6%** | **57.3M** | **189.0G** | | |
| | | | | | | | | | |
| | [**YOLOv7**]() |🔧 | 640 | **51.4%** | **69.7%** | **55.9%** | | |
| | [**YOLOv7-X**]() |🔧 | 640 | **53.1%** | **71.2%** | **57.8%** | | |
| | [**YOLOv7-W6**]() | 🔧 | 1280 | **54.9%** | **72.6%** | **60.1%** | | |
| | [**YOLOv7-E6**]() | 🔧 | 1280 | **56.0%** | **73.5%** | **61.2%** | | |
| | [**YOLOv7-D6**]() | 🔧 | 1280 | **56.6%** | **74.0%** | **61.8%** | | |
| | [**YOLOv7-E6E**]() | 🔧 | 1280 | **56.8%** | **74.4%** | **62.1%** | | |
| ## Download and Usage Instructions | |
| To use these models, download them from the links provided and use the following command to run detection: | |
| ```bash | |
| $yolo detect weights=path/to/model.pt img=640 conf=0.25 source=your_image.jpg | |
| ``` | |