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Autotrain Wilderv2 3544295625

Developed by ashutoshmondal
This is a binary classification image classification model trained using AutoTrain, based on the ashutoshmondal/autotrain-data-wilderv2 dataset.
Downloads 18
Release Time : 2/17/2023

Model Overview

This model is specifically designed for binary image classification tasks, capable of accurately distinguishing between two different image categories.

Model Features

High Accuracy
Achieves 94% accuracy on the validation set, demonstrating excellent performance.
Efficient Performance
The model's CO2 emissions during training were only 2.83 grams, making it environmentally friendly and efficient.
Comprehensive Evaluation Metrics
Provides multiple evaluation metrics including precision, recall, AUC, and F1 score.

Model Capabilities

Image classification
Binary classification

Use Cases

Image recognition
Wildlife recognition
Can be used to distinguish between images of different wildlife species.
94% accuracy
Object recognition
Can be used to distinguish specific objects from others.
F1 score 0.941
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