Autotrain-Weather-Classification-3739699406 Open-Source Model - Accurately Identify Images of Different Weather Types

Autotrain Weather Classification 3739699406

Developed by dazzle-nu

This is a weather image classification model trained using AutoTrain, capable of accurately identifying images of different weather types.

Image Classification

Transformers

#High-precision weather recognition #Automatic training optimization #Multi-category classification

Downloads 16

Release Time : 2/26/2023

Model Overview

This model is specifically designed for weather image classification tasks, capable of recognizing various weather conditions such as sunny, rainy, snowy, etc.

Model Features

High Accuracy

Achieves 94.5% accuracy on the validation set, demonstrating excellent performance.

Balanced Performance

Macro-average F1 score reaches 0.949, indicating balanced performance across different categories.

Eco-friendly Training

Training process emits only 0.061 grams of CO2, making it environmentally friendly.

Model Capabilities

Weather image classification

Multi-category recognition

Use Cases

Meteorological Monitoring

Automatic Weather Recognition

Used for automatically identifying real-time weather conditions captured by cameras

94.5% accuracy

Smart Agriculture

Farmland Weather Monitoring

Monitoring weather changes in farmland areas

Property	Details
Problem Type	Multi - class Classification
Model ID	3739699406
CO2 Emissions (in grams)	0.0610

Metric	Value
Loss	0.167
Accuracy	0.945
Macro F1	0.949
Micro F1	0.945
Weighted F1	0.945
Macro Precision	0.953
Micro Precision	0.945
Weighted Precision	0.946
Macro Recall	0.947
Micro Recall	0.945
Weighted Recall	0.945

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Autotrain Weather Classification 3739699406

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoTrain

🚀 Quick Start

✨ Features

📚 Documentation

Model Information

Validation Metrics

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