Unlock the power of computer vision with YOLOv9, the latest advancement in object detection! This revolutionary algorithm boasts improved accuracy and efficiency, making it perfect for real-time applications. Our project harnesses the power of YOLOv9 for detection and segmentation, leveraging its:

Programmable Gradient Information (PGI) for enhanced learning capacity

Generalized Efficient Layer Aggregation Network (GELAN) for optimized parameters and inference speed

Four models (v9-S, v9-M, v9-C, and v9-E) catering to different computational needs and accuracy requirements

Superior accuracy and efficiency

Reduced parameters and calculations

Real-time object detection capabilities

Flexibility for various applications (logistics, autonomous vehicles, people counting, sports analytics)