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Hair Lenght

Developed by Leilab
This is an image classification model based on the PyTorch framework, capable of accurately identifying and classifying hair length (long or short).
Image Classification
Transformers
#Hair Classification#High Accuracy#Image Recognition
Downloads 133
Release Time : 12/10/2022

Model Overview

This model is a binary image classifier specifically designed to recognize and classify hair length (long or short). Automatically generated by HuggingPics, it is suitable for simple hair length recognition tasks.

Model Features

High Accuracy
Achieves 88.89% accuracy on the test set, reliably distinguishing between long and short hair.
Ease of Use
Automatically generated via HuggingPics, requiring no complex configuration for use.
Lightweight
A lightweight model for inference, suitable for quick deployment and real-time applications.

Model Capabilities

Image Classification
Hair Length Recognition

Use Cases

Beauty & Fashion
Hairstyle Recommendation System
Recommends suitable hairstyles or hair care products based on the user's hair length.
Hair Salon Booking System
Automatically identifies customer hair length to recommend appropriate services.
Identity Recognition
Facial Feature Extraction
Used as part of facial features for identity recognition or verification systems.
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