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

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

reference

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