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This project involves using Intel Realsense to capture RGB images, depth images, and pseudo colored depth images, and is suitable for creating custom datasets for algorithms such as object detection, instance segmentation, and semantic segmentation.
This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.
This repository provides a comprehensive guide to implementing YOLOv8 for pose estimation on custom datasets. It includes setup instructions, data preparation steps, and training scripts. Leverage the power of YOLOv8 to accurately detect and analyze poses in various applications, from sports analytics to interactive gaming.
This project is an AI-powered educational chatbot designed to provide students and educational institutions with seamless access to information about courses, admissions, curriculum updates, and more. The chatbot features a modern, interactive interface with user-friendly functionality and an intuitive design.