A

Autotrain Furryornot 2093267379

Developed by micole66
This is a binary classification model trained with AutoTrain, designed to determine whether objects in images are furry.
Downloads 20
Release Time : 11/14/2022

Model Overview

This model is specifically designed for image classification tasks, accurately identifying whether objects in images exhibit furry characteristics.

Model Features

High Accuracy
Achieves 90.9% accuracy on the validation set, demonstrating excellent performance.
High Recall Rate
Boasts a 100% recall rate, effectively identifying all furry objects.
Low-Emission Training
Training process emits only 0.0075 grams of CO₂, making it environmentally friendly and efficient.

Model Capabilities

Image Classification
Furry Feature Recognition
Binary Classification

Use Cases

Image Recognition
Animal Hair Identification
Determines whether animals in photos exhibit furry characteristics
90.9% accuracy
Material Identification
Distinguishes plush toys from toys made of other materials
F1 score 0.857
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase