Computer Vision - Detection and Segmentation with Yolo V9
Hammad Tahir
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
Advantages:
Superior accuracy and efficiency
Reduced parameters and calculations
Real-time object detection capabilities
Flexibility for various applications (logistics, autonomous vehicles, people counting, sports analytics)
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Posted Apr 27, 2024
YOLOv9: Revolutionizing object detection with improved accuracy & efficiency. Real-time capabilities & flexible applications.
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