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Cricket Baseball Smrn
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Cricket Baseball Smrn
Developed by smaranjitghose
This is an image classification model based on the PyTorch framework, capable of accurately distinguishing between cricket and baseball images.
Downloads 31
Release Time : 3/2/2022
Model Overview
This model is specifically designed for recognizing and classifying images of cricket and baseball, suitable for scenarios such as sports equipment classification and smart sports devices.
Model Features
High Accuracy
Achieves an accuracy of 97.92% on the test set
Ease of Use
Automatically generated via HuggingPics tools, easy to deploy and use
Lightweight
Inference is performed by a lightweight model, suitable for embedded or mobile deployment
Model Capabilities
Image Classification
Sports Equipment Recognition
Binary Classification Task Handling
Use Cases
Sports Equipment Management
Automatic Classification of Sports Equipment
Automatically classify cricket and baseball equipment in sports stores or warehouses
Improves classification efficiency and accuracy
Smart Sports Applications
Sports Training Assistance
Identify the ball equipment used by athletes to assist in training data analysis
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