Autotrain Selenophake 3668397922
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Autotrain Selenophake 3668397922
Developed by CharlemagneDeer
This is a binary classification vision model trained using AutoTrain, specifically designed for image classification tasks.
Downloads 17
Release Time : 2/22/2023
Model Overview
The model is trained on the CharlemagneDeer/Auto-Training Data-selenophake dataset and can accurately perform binary classification tasks. Validation metrics show perfect accuracy, precision, and recall.
Model Features
High Accuracy
Validation metrics show the model achieved a perfect score of 1.000 across all evaluation metrics.
Low Emission
The training process produced only 0.571 grams of CO2 equivalent emissions, making it environmentally efficient.
Automatic Training
Trained using the AutoTrain platform, simplifying the model development process.
Model Capabilities
Image Classification
Binary Classification
Visual Recognition
Use Cases
Image Recognition
Animal Recognition
Identify whether an image contains a specific animal.
Examples show accurate identification of tiger images.
Object Recognition
Identify whether an image contains a specific object.
Examples show accurate identification of teapot images.
Scene Recognition
Identify whether an image contains a specific scene.
Examples show accurate identification of palace images.
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