YOLO Series

GPTKB entity

Statements (61)
Predicate Object
gptkbp:instance_of gptkb:cosmic_ray_detector
gptkbp:adapted_into different resolutions
gptkbp:applies_to real-time object detection
gptkbp:available_on gptkb:Git_Hub
gptkbp:community_support gptkb:true
gptkbp:competes_with gptkb:Faster_R-CNN
gptkb:SSD
gptkbp:developed_by gptkb:Joseph_Redmon
gptkbp:first_released gptkb:2016
gptkbp:has_applications_in gptkb:medical_imaging
gptkb:vehicles
gptkb:robotics
augmented reality
surveillance
gptkbp:has_training_data gptkb:Open_Images
gptkb:Pascal_VOC
gptkb:COCO_dataset
gptkbp:has_variants gptkb:YOLOv2
gptkb:YOLOv3
gptkb:YOLOv4
gptkb:YOLOv5
https://www.w3.org/2000/01/rdf-schema#label YOLO Series
gptkbp:influenced_by gptkb:Fast_R-CNN
gptkbp:is_evaluated_by gptkb:KITTI_dataset
COCO test-dev
Pascal VOC test set
gptkbp:is_implemented_in gptkb:Tensor_Flow
gptkb:Darknet
gptkb:Python
gptkb:Py_Torch
gptkbp:is_often_used_in computer vision
gptkbp:is_open_source gptkb:true
gptkbp:is_popular_in gptkb:academic_research
industry applications
gptkbp:is_scalable gptkb:true
gptkbp:is_used_by gptkb:engineers
gptkb:developers
gptkb:researchers
gptkbp:is_used_in gptkb:sports_team
image processing
security systems
video analysis
traffic monitoring
gptkbp:known_for speed and accuracy
gptkbp:latest_version gptkb:YOLOv5
gptkbp:performance FPS
object detection tasks
m AP
gptkbp:provides bounding box predictions
class probabilities
gptkbp:requires GPU for training
gptkbp:security background clutter
occlusions
variations in lighting
gptkbp:successor gptkb:R-CNN
gptkbp:supports multiple classes
gptkbp:uses convolutional neural networks
gptkbp:uses_anchor_boxes gptkb:true
gptkbp:uses_transfer_learning gptkb:true
gptkbp:bfsParent gptkb:YOLOv6x
gptkbp:bfsLayer 7