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75 Butterfly Types Image Detection

Developed by dima806
A butterfly image classification model based on the Vision Transformer architecture, capable of identifying 75 butterfly species with an accuracy of 96.74%
Downloads 27
Release Time : 10/29/2023

Model Overview

A butterfly species classifier fine-tuned using Google's ViT-base model, suitable for ecological research and biodiversity monitoring

Model Features

High-precision Classification
Achieves an overall accuracy of 96.74% in the 75-class butterfly classification task
Vision Transformer Architecture
Utilizes advanced Transformer architecture for image processing with excellent feature extraction capabilities
Fine-grained Recognition
Capable of distinguishing visually similar butterfly species (e.g., different subspecies of Lycaenidae)

Model Capabilities

Butterfly Species Recognition
Image Classification
Biological Feature Extraction

Use Cases

Ecological Research
Field Butterfly Population Monitoring
Automatically identifies butterfly species in field photographs
Accurately records biodiversity data
Educational Applications
Insect Identification App
Integrated into mobile apps for real-time butterfly recognition
Helps students and nature enthusiasts identify butterfly species
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