ganeshak11/Car_vs_Scooter_Classifier

Image Classification CNN Model

A deep learning image classifier that distinguishes between cars and scooters using a Convolutional Neural Network (CNN).

Features

• —CNN Model: 3-layer convolutional architecture with 74.67% validation accuracy
• —Modern UI: Glassmorphism design with drag-and-drop upload
• —Real-time Predictions: Instant classification with confidence scores
• —Responsive Design: Works on all devices

Model Details

• —Architecture: 3 Conv2D layers + 2 Dense layers
• —Training Data: 304 images (car + scooter)
• —Validation Accuracy: 74.67%
• —Image Size: 150x150 pixels

Usage

1. 1.Upload an image of a car or scooter
2. 2.View the prediction with confidence score
3. 3.See all class probabilities

Built with TensorFlow & Flask