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https://github.com/akashad98/vision_data_eda

Object detection Image data analysis or EDA
https://github.com/akashad98/vision_data_eda

eda python3 vision yolo-nas yolov5 yolov8

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Object detection Image data analysis or EDA

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README

        

# Vision_data_EDA
Object detection (bbox) Image data analysis or EDA, Gets insights from data

#installation

```
pip install data-gradients==0.1.4
pip install pdf2image
pip install Pygments

```

# To run

#### Inside data folder upload the data, here is a sample data link, just move the data to this folder
download data
```
https://drive.google.com/drive/folders/1dPNgUWj7CjFFdCODlLq-ac_4JeXjDIp7?usp=sharing
```

#### data format yolov5,yolov8
```
train- images & labels
val- images & labels
data.yaml
```

```
!python3 run_EDA.py
```

# output
you will get output in the logs folder which contains pfd

```
Object Detection Features output
1. Distribution of Bounding Box Area
2. Intersection of Bounding Boxes
3. Distribution of Bounding Box per image
4. Distribution of Bounding Box Width and Height
5. Class Frequency
6. Bounding Boxes Density
7. Distribution of Class Frequency per Image
8. Visualization of Samples

```

image

also check it,its similar but more powerful

## yoloexplorer

1)Analyse your datasets with powerful custom queries
2)Find and remove bad images (duplicates, out-of-domain data, and more)

```
https://github.com/lancedb/yoloexplorer
```
image

reference
```
https://github.com/Deci-AI/data-gradients.git
https://github.com/ultralytics/ultralytics.git
```