vijayg15/Keras-MultiClass-Image-Classification
Multiclass image classification using Convolutional Neural Network
This project helps operations engineers or autonomous vehicle developers automatically identify weather conditions from a single image. It takes an outdoor image as input and classifies the weather as one of several conditions like 'cloudy,' 'rainy,' or 'sunny,' replacing the need for expensive sensors or human observation. This is useful for improving safety in transportation and autonomous systems.
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Use this if you need an automated, economical way to classify real-time weather conditions using images for applications like intelligent transportation systems or environmental monitoring.
Not ideal if you require highly precise meteorological data or a comprehensive weather forecast, as this system only provides a single-image weather classification.
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Aug 11, 2024
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