Merge remote-tracking branch 'origin/main'

README.md

@@ -21,7 +21,8 @@
 ## Updates
 
 - 2025/06/17: **Use this repo for YOLOv12 instead of [ultralytics](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/cfg/models/12). Their implementation is inefficient, requires more memory, and has unstable training, which are fixed here!**
-
+  
+- 2025/07/01: YOLOv12's **classification** models are released, see [code](https://github.com/sunsmarterjie/yolov12/tree/Cls).
 - 2025/06/04: YOLOv12's **instance segmentation** models are released, see [code](https://github.com/sunsmarterjie/yolov12/tree/Seg).
 
 - 2025/04/15: Pretrain a YOLOv12 model with [LightlyTrain](https://docs.lightly.ai/train/stable/index.html), a novel framework that lets you pretrain any computer vision model on your unlabeled data, with [YOLOv12 support](https://docs.lightly.ai/train/stable/models/yolov12.html). Here is also a [Colab tutorial](https://colab.research.google.com/github/lightly-ai/lightly-train/blob/main/examples/notebooks/yolov12.ipynb)!
@@ -76,7 +77,7 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
 | [YOLO12x](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12x.pt) | 640                   | 55.2                 | 11.79                           | 59.1               | 199.0             |
 
 [**Instance segmentation**](https://github.com/sunsmarterjie/yolov12/tree/Seg):
-| Model (seg)                                                                              | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed  (ms) <br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(B) |
+| Model (seg)                                                                              | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed  (ms) <br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
 | :------------------------------------------------------------------------------------| :--------------------: | :-------------------: | :---------------------: | :--------------------------------:| :------------------: | :-----------------: |
 | [YOLOv12n-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12n-seg.pt) | 640                   | 39.9                 | 32.8                  | 1.84                           | 2.8                | 9.9              |
 | [YOLOv12s-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12s-seg.pt) | 640                   | 47.5                 | 38.6                  | 2.84                           | 9.8                | 33.4              |
@@ -84,6 +85,16 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
 | [YOLOv12l-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12l-seg.pt) | 640                   | 54.0                 | 43.2                  | 7.61                          | 28.8               | 137.7             |
 | [YOLOv12x-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12x-seg.pt) | 640                   | 55.2                 | 44.2                  | 15.43                          | 64.5               | 308.7             |
 
+
+[**Classification**](https://github.com/sunsmarterjie/yolov12/tree/Cls):
+| Model (cls)                                                                              | size<br><sup>(pixels) | Acc.<br><sup>top-1<br> | Acc.<br><sup>top-5<br> | Speed  (ms) <br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
+| :----------------------------------------------------------------------------------------| :-------------------: | :------------: | :------------: | :-------------------------------------:| :----------------: | :---------------: |
+| [YOLOv12n-cls](https://github.com/sunsmarterjie/yolov12/releases/download/cls/yolov12n-cls.pt) | 224             | 71.7           | 90.5           | 1.27                                   | 2.9                | 0.5               |
+| [YOLOv12s-cls](https://github.com/sunsmarterjie/yolov12/releases/download/cls/yolov12s-cls.pt) | 224             | 76.4           | 93.3           | 1.52                                   | 7.2                | 1.5               |
+| [YOLOv12m-cls](https://github.com/sunsmarterjie/yolov12/releases/download/cls/yolov12m-cls.pt) | 224             | 78.8           | 94.4           | 2.03                                   | 12.7               | 4.5               |
+| [YOLOv12l-cls](https://github.com/sunsmarterjie/yolov12/releases/download/cls/yolov12l-cls.pt) | 224             | 79.5           | 94.5           | 2.73                                   | 16.8               | 6.2               |
+| [YOLOv12x-cls](https://github.com/sunsmarterjie/yolov12/releases/download/cls/yolov12x-cls.pt) | 224             | 80.1           | 95.3           | 3.64                                   | 35.5               | 13.7              |
+
 </details>
 
 

logs/yolov12_cls_l.csv

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