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Autotrain Pick A Card 3726099222

Developed by rwcuffney
This is a multi-category image classification model trained via AutoTrain, demonstrating outstanding performance on the validation set with an accuracy of 90.9%.
Downloads 16
Release Time : 2/25/2023

Model Overview

This model is designed for multi-category image classification tasks, capable of accurately identifying and classifying input image content.

Model Features

High Accuracy
Achieves an outstanding accuracy of 90.9% on the validation set.
Multi-category Classification
Supports classification of various image categories.
Low-emission Training
The training process emits only 0.085 grams of CO₂, making it environmentally friendly and efficient.

Model Capabilities

Image classification
Multi-category recognition

Use Cases

Image recognition
Animal recognition
Identify animal categories in images
As shown in the example tiger image
Object recognition
Identify everyday objects
As shown in the example teapot image
Scene recognition
Identify different scenes
As shown in the example palace image
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