Object Detection ================ YOLOv7 ~~~~~~ .. list-table:: :header-rows: 1 * - Model - State - Test Size - :math:`AP^{val}` - :math:`AP_{50}^{val}` - :math:`AP_{75}^{val}` - Param. - FLOPs * - `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%** - - YOLOv9 ~~~~~~ .. list-table:: :header-rows: 1 * - Model - State - Test Size - :math:`AP^{val}` - :math:`AP_{50}^{val}` - :math:`AP_{75}^{val}` - Param. - FLOPs * - `YOLOv9-T `_ - 🔧 - 640 - - - - - * - `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** .. mermaid:: graph LR subgraph BackBone B1-->B2; B2-->B3; B3-->B4; B4-->B5; end subgraph FPN B3-->N3; B4-->N4; B5-->N5; N5-->N4; N4-->N3; end subgraph PAN P3-->P4; P4-->P5; N3-->P3; N4-->P4; N5-->P5; end P3-->Main_Head; P4-->Main_Head; P5-->Main_Head; subgraph Aux B3-->R3; B4-->R4; B5-->R5; R3-->A3; R4-->A3; R4-->A4; R5-->A3; R5-->A4; R5-->A5; end A3-->Auxiliary_Head; A4-->Auxiliary_Head; A5-->Auxiliary_Head;