Open-source image classification model autotrain-pick_a_card-3726099224 - Free deployment, with a validation set accuracy of 98.9%

Autotrain Pick A Card 3726099224

Developed by rwcuffney

This is a multi-category image classification model trained using AutoTrain, achieving an outstanding accuracy of 98.9% on the validation set.

Downloads 18

Release Time : 2/25/2023

Model Overview

This model can classify input images and is suitable for various image recognition tasks across multiple scenarios.

High Accuracy

Achieves an accuracy of 98.9% on the validation set, demonstrating excellent performance.

Multi-category Classification

Capable of handling image classification tasks across multiple categories.

Low-emission Training

The training process produces only 22.6 grams of CO2 equivalent emissions, making it relatively eco-friendly.

Image Classification

Multi-category Recognition

General Image Recognition

Animal Recognition

Identify the species of animals in images

For example, recognizing tigers in the sample images

Object Recognition

Identify everyday objects

For example, recognizing teapots in the sample images

Scene Recognition

Identify different scenes

For example, recognizing palaces in the sample images

Property	Details
Problem Type	Multi - class Classification
Model ID	3726099224
CO2 Emissions (in grams)	22.5952
Training Dataset	rwcuffney/autotrain-data-pick_a_card

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