YOLOv1

GPTKB entity

Statements (59)

Predicate	Object
gptkbp:instance_of	gptkb:cosmic_ray_detector
gptkbp:application	gptkb:vehicles gptkb:robotics surveillance systems video analysis image analysis
gptkbp:architecture	single neural network
gptkbp:code	available on Git Hub
gptkbp:community_support	active community
gptkbp:developed_by	gptkb:Joseph_Redmon
gptkbp:evaluates	gptkb:historical_memory F1 score precision Io U (Intersection over Union)
gptkbp:feature	real-time processing end-to-end training multi-class detection bounding box regression class prediction grid-based detection non-max suppression
gptkbp:has_limitations	lower accuracy than region-based methods struggles with small objects
https://www.w3.org/2000/01/rdf-schema#label	YOLOv1
gptkbp:influenced_by	gptkb:Faster_R-CNN gptkb:R-CNN gptkb:Fast_R-CNN gptkb:SSD_(Single_Shot_Multi_Box_Detector) Region Proposal Networks
gptkbp:input_output	bounding boxes and class probabilities 448x448
gptkbp:is_a_framework_for	gptkb:Darknet
gptkbp:language	gptkb:C gptkb:Python gptkb:CUDA
gptkbp:license	gptkb:GPLv3
gptkbp:performance	faster than traditional methods m AP (mean Average Precision) compared with Faster R-CNN compared with Retina Net compared with SSD
gptkbp:provides_information_on	gptkb:COCO
gptkbp:related_to	gptkb:YOLOv2 gptkb:YOLOv3 gptkb:YOLOv4 gptkb:YOLOv5 gptkb:Artificial_Intelligence gptkb:machine_learning computer vision deep learning object detection
gptkbp:release_year	gptkb:2016
gptkbp:repository	https://github.com/pjreddie/darknet
gptkbp:speed	real-time detection
gptkbp:successor	gptkb:YOLOv2
gptkbp:tutorials	available online
gptkbp:uses	convolutional neural networks
gptkbp:bfsParent	gptkb:YOLO
gptkbp:bfsLayer	5