GitHub - SURUJ404/MEET-EAT: Food Detection Model using PyTorch A deep learning model built with PyTorch for detecting food items in images using custom datasets. It leverages CNN-based architectures and transfer learning to accurately identify various food types. The model is trained on labeled food images and optimized for real-world detection tasks.

The Following app is built with Gradio keeping in mind as pytorch for deeplearning techniques .

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.gradio		.gradio
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
examples		examples
.gitattributes		.gitattributes
09_pretrained_effnetb2_feature_extractor_food101_20_percent.pth		09_pretrained_effnetb2_feature_extractor_food101_20_percent.pth
Pytorch-Custom-Datasets.ipynb		Pytorch-Custom-Datasets.ipynb
README.md		README.md
app.py		app.py
class_names.txt		class_names.txt
model.py		model.py
requirements.txt		requirements.txt

Provide feedback