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Autotrain Retrain Db16d58 2983986070

Developed by sbrandeis-test-org
This is a multi-class image classification model trained via AutoTrain, demonstrating perfect classification performance on test datasets
Downloads 18
Release Time : 1/20/2023

Model Overview

This model can accurately identify and classify input images, suitable for applications requiring automatic image recognition

Model Features

High Accuracy
Achieves 100% accuracy and F1 score on the validation set
Low Loss Value
Validation loss is only 0.001, indicating excellent model fitting
Eco-friendly Training
Training process produces only 0.576 grams of CO₂ emissions

Model Capabilities

Image Classification
Multi-class Recognition
Visual Feature Extraction

Use Cases

Image Recognition
Animal Recognition
Identify animal species in images, such as tigers
100% accuracy
Object Recognition
Identify everyday objects, such as teapots
100% accuracy
Scene Recognition
Identify architectural scenes, such as palaces
100% accuracy
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