Detect and track objects (road users) in videos
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Updated
Jul 16, 2024 - Python
Detect and track objects (road users) in videos
An open source library and framework for deep learning on satellite and aerial imagery.
Object detection using YOLOv8, a state-of-the-art deep learning model for real-time object detection. This repository includes code for training and evaluating YOLOv8 on custom datasets
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This work is an extension of the project https://github.com/ablanco1950/LicensePlate_Yolov8_Filters_PaddleOCR adding the possibility to detect the speed, tracking and counting cars
NetworkOptix open-source components used to build Powered-by-Nx products including Desktop Client for Network Optix Video Management Platform.
Object detection using YOLOv8 models using streamlit web app
An AI-driven solution enhances construction site safety using the YOLOv8 model for object detection. It identifies hazards like workers without helmets or safety vests, workers near machinery, and workers near vehicles. Post-processing algorithms further improve detection accuracy.
NVR with realtime local object detection for IP cameras
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
We write your reusable computer vision tools. 💜
The open-source tool for building high-quality datasets and computer vision models
📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core
Open source Python library for building bioimage analysis pipelines
A libtorch c++ implementation of Single Shot MultiBox Detector.
Final work featuring data collection, training and testing of YOLOv8 fire detection model and its deployment using Streamlit
Distributed Object Detection on Edge Devices using tinyML⚡
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Support project for my Bachelor's thesis @ Unifi - Converting Oxford5k and Paris6k into datasets suitable for object detection tasks. This repository contains scripts to create XML (PASCAL VOC format) and JSON (COCO format) annotations from .pkl files, enabling the training of an SSD/MobileNet object detection model.
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