https://github.com/notshrirang/indian-sign-language-classification-using-transfer-learning
Indian Sign Language A-Z alphabets classification with Custom CNN and Resnet50
https://github.com/notshrirang/indian-sign-language-classification-using-transfer-learning
cnn indian-sign-language-recognition resnet-50 tensorflow transfer-learning
Last synced: about 1 month ago
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Indian Sign Language A-Z alphabets classification with Custom CNN and Resnet50
- Host: GitHub
- URL: https://github.com/notshrirang/indian-sign-language-classification-using-transfer-learning
- Owner: NotShrirang
- Created: 2023-03-04T15:12:15.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-05-22T03:50:31.000Z (over 2 years ago)
- Last Synced: 2025-04-05T15:29:55.222Z (6 months ago)
- Topics: cnn, indian-sign-language-recognition, resnet-50, tensorflow, transfer-learning
- Language: Jupyter Notebook
- Homepage: https://notshrirang-indian-sign-language-classification-using-resnet50.streamlit.app/
- Size: 1.49 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Indian Sign Language Classification using Transfer Learning
ISL classification with Custom CNN and Resnet50
### The app is hosted with Streamlit! - Try Now!
Dataset
Notebook
Streamlit App## Inference:
Input Sign
Inference4
![]()
A
## Installing Requirements
```
pip install -r requirements.txt
```## Get trained models
Model Name
Size
LinkCustom CNN
799 KB
Transfer Learning - ResNet50V2 - Model 1
205 MB
Transfer Learning - ResNet50V2 - Model 2
206 MB
## Accuracy and Losses:
Model Name
Accuracy
Loss Curves
Accuracy CurvesCustom CNN
98.38%
Transfer Learning - ResNet50V2 - Model 1
99.93%
Transfer Learning - ResNet50V2 - Model 2
98.95%