Multiple classified images across major driver activity categories. The collection provides visual data for identifying specific driver actions and behavioral patterns.
Use Cases
- Train a convolutional neural network using the image data and classification labels to detect driver behavior
- Develop driver assistance systems by identifying specific activities within the image set
- Evaluate the accuracy of activity recognition models on the classified driver images
Strengths
- Contains image format data for visual driver analysis
- Includes classification labels for major driver activities
- Organized into distinct behavioral categories for driver actions