README.md

---
base_model:
- timm/swin_s3_base_224.ms_in1k
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
  - food101
metrics:
- accuracy
---
# Model card for swin_s3_base_224-Foods-101

## Model Details

**Model Name:** Swin Transformer (swin_s3_base_224)

**Architecture:** Swin Transformer

**Pre-trained Model:** Swin Transformer Base (swin_base_patch4_window7_224)

**Fine-tuning Dataset:** Food-101

## Model Description

This model is a fine-tuned version of the Swin Transformer Base model (swin_base_patch4_window7_224) on the Foods-101 dataset. 
The Swin Transformer is a powerful vision transformer architecture that introduces a hierarchical Swin Transformer block to efficiently model long-range dependencies in images.

The pre-trained Swin Transformer Base model was fine-tuned on the Foods-101 dataset, which consists of 101 food categories. 

## Intended Use

This fine-tuned model can be used for classifying food images into one of the 101 categories present in the Foods-101 dataset. It can be employed in various applications related to food recognition, dietary analysis, recipe recommendation systems, and more