HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Fix gitignore to format Docs datasets (#16071)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-09-06 17:17:33 +02:00 • committed by GitHub
parent 6f5c3c8cea
commit ce24c7273e
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
41 changed files with 767 additions and 744 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/en/datasets/classify/imagenet.md
View file

@ -11,7 +11,7 @@ keywords: ImageNet, deep learning, visual recognition, computer vision, pretrain
## ImageNet Pretrained Models
| Model | size<br><sup>(pixels) | acc<br><sup>top1 | acc<br><sup>top5 | Speed<br><sup>CPU ONNX<br>(ms) | Speed<br><sup>A100 TensorRT<br>(ms) | params<br><sup>(M) | FLOPs<br><sup>(B) at 640 |
|----------------------------------------------------------------------------------------------|-----------------------|------------------|------------------|--------------------------------|-------------------------------------|--------------------|--------------------------|
| -------------------------------------------------------------------------------------------- | --------------------- | ---------------- | ---------------- | ------------------------------ | ----------------------------------- | ------------------ | ------------------------ |
| [YOLOv8n-cls](https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n-cls.pt) | 224 | 69.0 | 88.3 | 12.9 | 0.31 | 2.7 | 4.3 |
| [YOLOv8s-cls](https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8s-cls.pt) | 224 | 73.8 | 91.7 | 23.4 | 0.35 | 6.4 | 13.5 |
| [YOLOv8m-cls](https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8m-cls.pt) | 224 | 76.8 | 93.5 | 85.4 | 0.62 | 17.0 | 42.7 |
@ -105,7 +105,7 @@ To use a pretrained Ultralytics YOLO model for image classification on the Image
!!! Example "Train Example"
=== "Python"
```python
from ultralytics import YOLO
@ -117,7 +117,7 @@ To use a pretrained Ultralytics YOLO model for image classification on the Image
```
=== "CLI"
```bash
# Start training from a pretrained *.pt model
yolo classify train data=imagenet model=yolov8n-cls.pt epochs=100 imgsz=224