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Autotrain Multifamily V2 3736899404

Developed by lineups-io
This is a multi-class image classification model trained using AutoTrain, achieving an accuracy of 78.6% on the validation set.
Downloads 14
Release Time : 2/25/2023

Model Overview

This model is designed for multi-class image classification tasks, capable of identifying and categorizing input images into predefined multiple classes.

Model Features

High Accuracy
Achieved an accuracy of 78.6% on the validation set, demonstrating good performance.
Multi-class Classification
Capable of handling image classification tasks across multiple classes.
Eco-friendly Training
The training process emitted only 5.4 grams of CO2, making it relatively environmentally friendly.

Model Capabilities

Image Classification
Multi-class Recognition

Use Cases

Image Recognition
Animal Recognition
Identify the type of animal in the image, such as tigers.
Accuracy 78.6%
Object Recognition
Identify everyday objects, such as teapots.
Accuracy 78.6%
Scene Recognition
Identify different types of scenes, such as palaces and other buildings.
Accuracy 78.6%
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