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gptkbp:instance_of
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gptkb:Model
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
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gptkb:feature_pyramid_networks
|
|
gptkbp:applies_to
|
images
video streams
|
|
gptkbp:based_on
|
single neural network
|
|
gptkbp:competes_with
|
gptkb:Faster_R-CNN
gptkb:CEO
|
|
gptkbp:developed_by
|
gptkb:Joseph_Redmon
|
|
gptkbp:first_introduced
|
gptkb:2015
|
|
gptkbp:has_programs
|
gptkb:sports_team
gptkb:Photographer
gptkb:robot
gptkb:engine
augmented reality
surveillance
retail analytics
|
|
gptkbp:has_variants
|
YOL Ov4-tiny
YOL Ov5l
YOL Ov5m
YOL Ov5s
YOL Ov5x
YOL Ov6l
YOL Ov6m
YOL Ov6s
Tiny YOLO
YOL Ov7-e6e
YOL Ov7-tiny
YOL Ov7-w6
YOL Ov7-x6
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLO models
|
|
gptkbp:improves
|
accuracy
detection speed
|
|
gptkbp:input_output
|
bounding boxes
class probabilities
|
|
gptkbp:is_implemented_in
|
gptkb:C++
gptkb:Graphics_Processing_Unit
gptkb:Library
gptkb:Py_Torch
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_popular_in
|
deep learning research
computer vision community
|
|
gptkbp:known_for
|
real-time object detection
|
|
gptkbp:recognizes
|
multiple classes
large objects
small objects
|
|
gptkbp:requires
|
GPU for optimal performance
|
|
gptkbp:successor
|
YOL Ov2
YOL Ov3
YOL Ov4
YOL Ov5
YOL Ov6
YOL Ov7
|
|
gptkbp:training
|
custom datasets
|
|
gptkbp:uses
|
convolutional neural networks
anchor boxes
non-max suppression
|