AIbase
EN
Home
Cropvision CLIP
C

Cropvision CLIP

Developed by EduFalcao
A vision-language model fine-tuned based on the CLIP architecture, specifically designed for zero-shot classification of plant diseases
Image Classification
Safetensors
 English#Plant Disease Identification#Zero-shot Classification#Agricultural Visual Inspection
Downloads 38
Release Time : 5/4/2025

Model Overview

This model is fine-tuned on the CLIP architecture and can perform zero-shot image classification of plant health status and common diseases (such as leaf blight, black rot, etc.), suitable for agricultural monitoring scenarios

Model Features

Zero-shot Classification Capability
Can recognize unseen plant disease categories during training without specific training
Specialized for Agricultural Diseases
Optimized visual feature extraction for common plant diseases such as leaf blight and black rot
Efficient Visual Encoding
Efficient image feature extraction based on the Vision Transformer architecture

Model Capabilities

Plant health status recognition
Disease type classification
Zero-shot image understanding
Agricultural image analysis

Use Cases

Agricultural Monitoring
Early Detection of Field Diseases
Automatically identify early disease symptoms by capturing images of crop leaves
Can recognize 4 common plant disease states
Greenhouse Crop Health Assessment
Automated monitoring of greenhouse crop health status
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase