Purushothaman-natarajan/Under-water-sonar-image-classification
This repository explores the use of eXplainable AI (XAI) to interpret deep learning models in underwater SONAR image classification. We utilize transfer learning with CNN architectures like VGG16 and ResNet50, and apply LIME and SP-LIME for transparent model explanations.
Stars
6
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Purushothaman-natarajan/Under-water-sonar-image-classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
notAI-tech/NudeNet
Lightweight nudity detection
levan92/deep_sort_realtime
A really more real-time adaptation of deep sort
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with...
withoutbg/withoutbg
Image Background Removal Toolkit - Open Source and API Models
roflcoopter/viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object...