Update README.md

README.md

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-# DetectWeb
-中国农业大学毕业实习项目：病虫害检测，类别有苹果、樱桃、玉米、葡萄、桃子、胡椒、土豆、番茄等
-
-China Agricultural University Graduation Internship: the purpose is to recognize the health condition of a fruit based on image. The dataset contains 8 types of fruit and 31 types of corrsponding conditions.
-
-```
-Apple = ['[Apple_scab]', '[Black_rot]', '[Cedar_apple_rust]', '[healthy]']
-Cherry = ['[Powdery_mildew]', '[healthy]']
-Corn = ['[Cercospora_leaf_spot] [Gray_leaf_spot]', '[Common_rust]', '[Northern_Leaf_Blight]', '[healthy]']
-Grape = ['[Black_rot]', '[Esca_Black_Measles]', '[Leaf_blight]', '[healthy]']
-Peach = ['[Bacterial_spot]', '[healthy]']
-Pepper = ['[Bacterial_spot]', '[healthy]']
-Potato = ['[Early_blight]', '[Late_blight]', '[healthy]']
-Tomato = ['[Target_Spot]', '[YellowLeaf_Curl_Virus]', '[Bacterial_spot]', '[Early_blight]', '[healthy]', '[Late_blight]', '[Leaf_Mold]', '[Septoria_leaf_spot]', '[Spider_mites]']
-```
-
-We train a general model for all types of fruit, which means this model can be used to examine all 8 fruit and corresponding conditions. 8 specialized models for a single fruit are also trained for better recognition accuracy.
-<img src="demonstration/kinds.png" width="60%">
-
-## Software Environment
-Project Framework：Flask + Bootstrap
-
-Development Environment：Pycharm
-
-Database：MySql
-
-ORM library: SQLAlchemy
-
-## Requirements
-```
-$ git clone https://github.com/lujiazho/DetectWeb.git
-$ cd DetectWeb
-$ pip install -r requirements.txt
-```
-
-## Demonstration
-|Interface Ⅰ|Appearance|Interface Ⅱ|Appearance
-|---|---|---|---
-|<p align="center">Detection</p>|<img src="demonstration/detection.png" width="100%">|<p align="center">Main Interface</p>|<img src="demonstration/main.png" width="100%" alt="" align=center />
-|<p align="center">Record</p>|<img src="demonstration/record.png" width="100%">|<p align="center">Trend</p>|<img src="demonstration/trend.png" width="100%" alt="" align=center />
+title: Css
+emoji: 🏢
+colorFrom: indigo
+colorTo: red
+sdk: docker
+pinned: false
+license: apache-2.0