Update README.md

README.md

@@ -1,30 +1,8 @@
-
-# Pokemon object detections
-Using yolov8 after training with Google Colab
-## Dataset
-Because of lack of data, there are only 7 classes: ```pikachu```, ```charmander```, ```bulbasaur```, ```squirtle```, ```eevee```, ```jigglypuff``` and ```other```.  
-  
-![labels](https://github.com/vovod/yolov8-pokemon-object-detection/blob/main/after_train/labels.jfif)
-## Requirements
-```
-pip install ultralytics
-```
-## Preprocess Data
-The ```convert.py``` used to convert *.xml* label file to *.txt* yolo label file.  
-Run ```resize_image.py``` to resize image's width to 640.
-## Train with Colab
-Edit ```name.yaml```.
-Upload images and labels.
-```
-!yolo train model=yolov8n.pt data=/content/name.yaml epochs=50 imgsz=640
-```
-## Training's Result
-```last.pt``` and ```best.pt``` in result folder.
-  
-![train](https://github.com/vovod/yolov8-pokemon-object-detection/blob/main/after_train/results.png?raw=true)
-## Predict
-Run ```predict.py``` to see result. This is my predict to ```test.mp4```:  
-  
-![result](https://github.com/vovod/yolov8-pokemon-object-detection/blob/main/result.gif?raw=true)
-
-#### Thank you for stopping by!
+title: "Pokemon Object Detection"
+emoji: 🐉
+colorFrom: indigo
+colorTo: pink
+sdk: gradio
+sdk_version: "4.36.1"
+app_file: app.py
+pinned: false