model

Develop a deep learning model using the YOLOv8 architecture to accurately detect cars in aerial imagery captured by drones. This model will be trained on the VisDrone dataset, which offers a rich collection of drone-captured images with diverse scenarios and object annotations.

Benefits:

• Enhanced Car Detection: The custom YOLOv8 model will be specifically tailored to identify cars in drone footage, potentially surpassing the performance of generic object detection models on this task.

• Improved Performance in Drone-Specific Conditions: Training on the VisDrone dataset, which includes variations in lighting, weather, and object density, will help the model generalize better to real-world drone footage.