This repository contains Jupyter Notebooks for training the YOLO11 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.
This repository contains Jupyter Notebooks for training the YOLOv8 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.
This notebook shows training on the Blood Cell Dataset (BCCD). This technologoy will become easily accessible to any developer wishing to use computer vision in their projects.
Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.
This repository contains a Jupyter notebook. It demonstrates the process of training and evaluating a YOLOv10 model for object detection using the Rock, Paper, Scissors dataset from Roboflow.
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