Cars Drone Detection Dataset

Key Features

• High-Resolution Images: Each image is 512×512 pixels with 3 color channels, ensuring detailed visual information.
• Diverse Perspectives: The dataset includes cars captured from different angles and distances, simulating real-world scenarios.
• Quality Variations: Images exhibit varying degrees of quality, challenging detection models to perform well under different conditions.
• Precise Annotations: Car outlines are marked using the Pascal VOC format, facilitating accurate object detection and localization tasks.

Applications

• Detection Tasks: Ideal for practicing car detection using aerial imagery.
• Image Augmentation: Provides a robust dataset for experimenting with various augmentation techniques.
• Model Training: Suitable for training and validating detection models, including those based on SSD (Single Shot Multibox Detector) architectures.

Included Resources

• Annotated Images: A set of images with car outlines marked for detection.
• Data Processing Notebook: An attached notebook demonstrating data preprocessing steps, including train-test split, augmentation, and implementation of the SSD300 detection network with a complete learning cycle.