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YOLOv10 Logistics Counting System: Real-Time Object Counting with Flask Web Interface

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#Pyresearch #ComputerVision #OpenCV
In this project, we demonstrate how to build a Real-Time Logistics Counting System using YOLOv10 and a Flask Web Interface. This system allows you to train a custom YOLOv10 model and perform live inference via a webcam feed, making it ideal for logistics tracking and automation. The system is lightweight, efficient, and designed for real-world applications.
Key Features:
Custom YOLOv10 Model Training: Train your own model on logistics-related objects.
Real-Time Counting: Live object detection and counting with high accuracy.
Flask Integration: A web-based interface for easy deployment and monitoring.
Resources:
In this project, we demonstrate how to build a Real-Time Logistics Counting System using YOLOv10 and a Flask Web Interface. This system allows you to train a custom YOLOv10 model and perform live inference via a webcam feed, making it ideal for logistics tracking and automation. The system is lightweight, efficient, and designed for real-world applications.
Key Features:
Custom YOLOv10 Model Training: Train your own model on logistics-related objects.
Real-Time Counting: Live object detection and counting with high accuracy.
Flask Integration: A web-based interface for easy deployment and monitoring.
Resources:
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