|
gptkbp:instanceOf
|
object detection algorithm
|
|
gptkbp:application
|
real-time object detection
|
|
gptkbp:architecture
|
gptkb:convolutional_neural_network
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:machine_learning
computer vision
|
|
gptkbp:developer
|
gptkb:Ali_Farhadi
gptkb:Joseph_Redmon
gptkb:Santosh_Divvala
gptkb:Ross_Girshick
|
|
gptkbp:firstPublished
|
2016
|
|
gptkbp:fullName
|
gptkb:You_Only_Look_Once
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLO
|
|
gptkbp:input
|
gptkb:DVD
gptkb:illustrator
|
|
gptkbp:license
|
varies by version
|
|
gptkbp:notableFeature
|
end-to-end training
real-time speed
unified detection architecture
single neural network predicts bounding boxes and class probabilities directly from full images
|
|
gptkbp:notablePublication
|
arXiv:1506.02640
|
|
gptkbp:openSource
|
true
|
|
gptkbp:output
|
class labels
bounding boxes
confidence scores
|
|
gptkbp:platform
|
deep learning
|
|
gptkbp:successor
|
gptkb:YOLOv2
gptkb:YOLOv3
gptkb:YOLOv4
gptkb:YOLOv5
gptkb:YOLOv6
gptkb:YOLOv7
gptkb:YOLOv8
|
|
gptkbp:usedIn
|
autonomous vehicles
robotics
medical imaging
smart cities
retail analytics
video surveillance
|
|
gptkbp:YOLOv2ReleaseYear
|
2017
|
|
gptkbp:YOLOv3ReleaseYear
|
2018
|
|
gptkbp:YOLOv4Developer
|
gptkb:Alexey_Bochkovskiy
|
|
gptkbp:YOLOv4ReleaseYear
|
2020
|
|
gptkbp:YOLOv5Developer
|
gptkb:Ultralytics
|
|
gptkbp:YOLOv5ReleaseYear
|
2020
|
|
gptkbp:YOLOv6Developer
|
gptkb:Meituan
|
|
gptkbp:YOLOv6ReleaseYear
|
2022
|
|
gptkbp:YOLOv7Developer
|
gptkb:Wong_Kin-Yiu
|
|
gptkbp:YOLOv7ReleaseYear
|
2022
|
|
gptkbp:YOLOv8Developer
|
gptkb:Ultralytics
|
|
gptkbp:YOLOv8ReleaseYear
|
2023
|
|
gptkbp:bfsParent
|
gptkb:convolutional_neural_network
gptkb:r/WallStreetBets
|
|
gptkbp:bfsLayer
|
5
|