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waste-classification – AI Model by watersplash | AlphaNeural AI
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watersplash
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waste-classification
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transformers
safetensors
vit
image-classification
autotrain_compatible
endpoints_compatible
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An Image Classifier model fine-tuned on ViT. This model can classify garbage images.
Model Details
Model Description
Finetuned from model :
ViT
Model Sources [optional]
Repository:
https://github.com/KomaliValluru/waste-classification
Uses
Target classes: Battery, Biological, Brown-grass, Cardboard, Clothes, Green-Glass, Metal, Paper, Plastic, Shoes, Trash, White-Glass
Training Details
Training Data
https://www.kaggle.com/datasets/mostafaabla/garbage-classification
Metrics
Accuracy
Results
Accuracy: 98%
Summary
Hours used:
1 hour 30 minutes
References:
Based on the model yangy50/garbage-classification
