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Rock Challenge DeiT Solo
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Rock Challenge DeiT Solo

Developed by dimbyTa
This is an image classification model based on the DeiT architecture, specifically designed for rock particle classification tasks.
Image Classification
Transformers
#Rock Particle Classification#High-precision Image Recognition#DeiT Architecture
Downloads 30
Release Time : 4/23/2022

Model Overview

The model is trained using the HuggingPics tool and can classify rock particles into four types: fine-grained, large chunks, medium chunks, and granules.

Model Features

Efficient Image Classification
Based on the DeiT architecture, it achieves efficient training and good performance even with limited data.
Easy to Use
Automatically generated via the HuggingPics tool, allowing users to easily create their own image classifiers.

Model Capabilities

Rock Particle Classification
Image Recognition
Fine-grained Classification

Use Cases

Geological Research
Rock Sample Classification
Automatically classify collected rock samples
Accuracy reaches 88.66%
Industrial Applications
Ore Sorting
Automatically identify particles of different sizes during ore processing
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