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Samrudhi00
Project: Retail Object Detection and Counting
Description: This project focuses on developing and refining object detection and counting capabilities specifically for retail environments. The goal is to accurately detect and count various objects such as products, customers, and carts within retail stores.
Plan: Model Development: Develop object detection models tailored for retail scenarios. Utilize techniques like YOLOv8 and YOLO-NAS to ensure efficient and accurate detection of objects within store environments.
Training and Validation: Train the developed models on annotated retail datasets to ensure robust performance. Validate the models against real-world retail scenarios to verify accuracy and effectiveness.
Documentation: Document the development process, including model architecture, training methodologies, and evaluation results. Provide clear instructions for deploying and utilizing the developed models in retail environments.
By completing this project, we aim to provide retailers with reliable tools for automating object detection and counting tasks, ultimately improving inventory management, customer service, and overall operational efficiency within retail stores.