Edit model card

An Image Classifier model fine-tuned on ViT. This model can classify garbage images.

Finetuned from model : ViT Uses Target classes: Battery, Biological, Brown-grass, Cardboard, Clothes, Green-Glass, Metal, Paper, Plastic, Shoes, Trash, White-Glass Training Details Training Data Accuracy: 98%

Summary Hours used: 1 hour 30 minutes

Downloads last month
7
Safetensors
Model size
85.8M params
Tensor type
F32
ยท
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Space using Rhushik/wastemanage 1