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Resnet Tiny Beans
R
Resnet Tiny Beans
Developed by fxmarty
An ultra-small model trained on a bean dataset, primarily for testing and demonstration purposes.
Downloads 5,865
Release Time : 7/27/2022
Model Overview
This model is a small demo model trained on a bean dataset, suitable for testing and showcasing the performance and applications of ultra-small models.
Model Features
Ultra-small model
The model is small in size, making it ideal for testing and demonstration purposes.
Trained on bean dataset
Trained on a bean dataset, focusing on image classification tasks in a specific domain.
Model Capabilities
Image classification
Bean recognition
Use Cases
Agriculture
Bean variety identification
Identify different types of beans for agricultural classification and quality control.
Education
Model demonstration
Used for teaching and demonstrating the basic functionalities of small image classification models.
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