Tree - HK Open - source Tree Classification Model - Accurately Identify Multiple Common Native Tree Species in Hong Kong

Tree HK

Developed by OttoYu

This is a classification model based on images of common trees in Hong Kong, capable of accurately identifying multiple local tree species.

Image Classification

Transformers

Supports Multiple Languages#Hong Kong Tree Identification #High-precision Plant Classification #Multilingual Support

Downloads 14

Release Time : 3/30/2023

Model Overview

This model is specifically designed for image classification tasks of common trees in Hong Kong, helping users quickly identify different tree species.

Model Features

High Accuracy

Achieves 100% accuracy on the validation set

Multi-species Identification

Capable of identifying multiple common tree species in Hong Kong

Bilingual Support

Supports both English and Chinese languages

Model Capabilities

Tree Image Classification

Plant Species Identification

Visual Feature Extraction

Use Cases

Ecological Research

Tree Species Census

Used for surveying and statistics of tree resources in Hong Kong

Improves census efficiency and accuracy

Educational Applications

Plant Identification Teaching

Helps students learn about local tree species

Enhances learning interactivity

Metric	Value
Loss	0.031
Accuracy	1.000
Macro F1	1.000
Micro F1	1.000
Weighted F1	1.000
Macro Precision	1.000
Micro Precision	1.000
Weighted Precision	1.000
Macro Recall	1.000
Micro Recall	1.000
Weighted Recall	1.000

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Tree HK

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Autotrain Image Classification Model

🚀 Quick Start

📚 Documentation

Tags

Datasets

Example Widgets

Languages Supported

Metrics Used

📊 Validation Metrics