Traffic light recognition
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Updated
Apr 7, 2024 - Python
Traffic light recognition
🚀 YOLO to COCO Conversion: Easily convert YOLO annotation format to COCO JSON using a Streamlit app. Customize categories, visualize annotations, and download JSON output. Perfect for computer vision projects!
StepSight Pro uses Roboflow to manage datasets from 'outdoordetection' versions 1 and 2. With YOLOv8n's pretrained model, it utilizes Ultralytics' YOLO for training on 'outdoorDetection-2' data. Explore the implementation at StepSightPro."
Road instance segmentation using YOLOv8 object detection for annotation and the YOLOv8 object detection for segmentation
This repository demonstrates instance segmentation using YOLOv8 (smart) model on Triton Inference Server
Infer yolov8-seg models from Ultralytics with ONNXRuntime (no torch required)
Segmentation of coral reefs in benthic imagery to quantify the long-term growth or decline of coral cover within marine protected areas.
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project
This repository contains a re-implementation of YOLOv8 specifically designed for person detection using PyTorch. It provides a streamlined approach to implement and utilize YOLOv8 for detecting individuals within images.
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)
Road instance segmentation using YOLOv8 object detection for annotation and the YOLOv8 object detection for segmentation
ROS2 Package for instance segmentation using the YoloV8 segmentation model and a Intel Realsense D435 camera
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
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