TreeClassification Open-source Image Classification Model - Free Deployment to Identify Common Objects and Scenes

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Treeclassification

Developed by OttoYu

A vision model for image classification, capable of recognizing various common objects and scenes.

Image Classification

Transformers

#High-precision Image Classification #Multi-scenario Adaptation #Lightweight Deployment

Downloads 22

Release Time : 3/23/2023

Model Overview

This model is based on vision technology and is primarily used for image classification tasks, accurately identifying object or scene categories in pictures.

Model Features

Multi-category Recognition

Capable of recognizing various common categories including animals, everyday objects, buildings, etc.

Efficient Classification

Based on validation metrics, the model performs well in classification tasks.

Model Capabilities

Image Classification

Object Recognition

Scene Recognition

Use Cases

Content Management

Automatic Image Tagging

Automatically generate classification labels for images in a picture library

Improves image retrieval and management efficiency

Smart Photo Albums

Automatic Photo Classification

Automatically categorize photos in user albums by content

Enhances user experience and organizational efficiency

Metric	Value
Loss	0.772
Accuracy	0.792
Macro F1	0.754
Micro F1	0.792
Weighted F1	0.747
Macro Precision	0.744
Micro Precision	0.792
Weighted Precision	0.743
Macro Recall	0.808
Micro Recall	0.792
Weighted Recall	0.792

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Treeclassification

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Image Classification Model

🚀 Quick Start

📚 Documentation

Validation Metrics

CO2 Emissions

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