Creating an easy-to-use deep learning notebook with the YOLOv5 object detection algorithm and YouTube Bounding Box dataset
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Updated
Nov 30, 2023 - Python
Creating an easy-to-use deep learning notebook with the YOLOv5 object detection algorithm and YouTube Bounding Box dataset
This repository contains notebooks for training and testing yolov5/X and also contains visualization code.
Notebooks to fine-tune Yolov5 and Yolov8 and export model for JavaScript deployment
Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.
Repository showcasing YOLOv5 training on a custom dataset of real-world marine markers, featuring comprehensive Jupyter notebooks and archived model weights for advanced object detection in marine environments.
Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.
Jupyter notebook for YOLOv5 custom dataset training for Facemask detection in Pytorch.
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.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
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