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
download data
https://drive.google.com/drive/folders/1dPNgUWj7CjFFdCODlLq-ac_4JeXjDIp7?usp=sharing
train- images & labels
val- images & labels
data.yaml
!python3 run_EDA.py
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
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
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent