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Rock Challenge ViT Two By Two
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Rock Challenge ViT Two By Two
Developed by dimbyTa
This is an image classification model based on the ViT architecture, specifically designed for rock particle classification tasks, achieving an accuracy of 96.6%.
Downloads 15
Release Time : 3/31/2022
Model Overview
The model utilizes the Vision Transformer (ViT) architecture to accurately classify different types of rock particles, including fine particles, large particles, medium particles, and pellets.
Model Features
High Accuracy
Achieves 96.6% accuracy in rock particle classification tasks.
ViT-based Architecture
Uses the advanced Vision Transformer architecture for image classification.
Automated Generation
Automatically generated by the HuggingPics tool for quick creation of custom classifiers.
Model Capabilities
Rock Particle Image Classification
Fine Particle Identification
Large Particle Identification
Medium Particle Identification
Pellet Identification
Use Cases
Mining
Ore Particle Classification
Automatically classifies ore particles of different sizes.
96.6% accuracy
Industrial Quality Inspection
Mineral Processing Quality Inspection
Detects the distribution of particle sizes during mineral processing.
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