A computer vision project that detects whether an image contains an accident or a non-accident scene. I prepared the image data, applied preprocessing and augmentation, trained a deep learning classification model using EfficientNetB0, and evaluated the model using accuracy, precision, recall, and a confusion matrix. I also built a simple Streamlit interface to test the trained model.