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Autotrain Weather Classification 3739699407

Developed by dazzle-nu
This is a weather classification model trained using AutoTrain, capable of accurately identifying images of different weather types.
Downloads 16
Release Time : 2/26/2023

Model Overview

This model is a multi-class classification model specifically designed to recognize and classify images under various weather conditions, such as sunny, rainy, snowy, etc.

Model Features

High accuracy
Achieves an accuracy of 95.2% on the validation set, demonstrating excellent performance.
Low-emission training
CO2 emissions during training are only 0.0526 grams, making it environmentally friendly and efficient.
Multi-class classification
Capable of handling classification tasks for multiple weather types.

Model Capabilities

Image classification
Weather recognition
Multi-class prediction

Use Cases

Meteorological monitoring
Automatic weather monitoring
Used for automatically identifying weather conditions captured by cameras
95.2% accuracy
Smart agriculture
Farmland weather monitoring
Monitoring weather changes in farmland areas
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