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gptkbp:instance_of
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gptkb:Model
|
|
gptkbp:applies_to
|
real-time object detection
|
|
gptkbp:community_support
|
gptkb:theorem
|
|
gptkbp:competes_with
|
gptkb:Faster_R-CNN
gptkb:CEO
gptkb:Retina_Net
|
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gptkbp:developed_by
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gptkb:Joseph_Redmon
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gptkbp:has_documentation
|
available online
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gptkbp:has_programs
|
gptkb:Photographer
gptkb:robot
gptkb:engine
augmented reality
surveillance
|
|
gptkbp:has_variants
|
YOL Ov2
YOL Ov3
YOL Ov4-tiny
YOL Ov5l
YOL Ov5m
YOL Ov5s
YOL Ov5x
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLO family
|
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gptkbp:influenced_by
|
gptkb:R-CNN
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_effective_against
|
gptkb:theorem
|
|
gptkbp:is_implemented_in
|
gptkb:Library
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_popular_in
|
gptkb:Research_Institute
machine learning applications
computer vision community
|
|
gptkbp:is_scalable
|
gptkb:theorem
|
|
gptkbp:is_supported_by
|
gptkb:DJ
gptkb:Graphics_Processing_Unit
gptkb:Open_CV
gptkb:Py_Torch
|
|
gptkbp:is_used_in
|
image processing
video analysis
|
|
gptkbp:known_for
|
speed and accuracy
|
|
gptkbp:latest_version
|
YOL Ov5
|
|
gptkbp:learns_move
|
gptkb:theorem
|
|
gptkbp:next_edition
|
gptkb:2015
|
|
gptkbp:performance
|
FPS
m AP
Io U
|
|
gptkbp:press_box
|
gptkb:theorem
|
|
gptkbp:provides
|
object localization
bounding box predictions
class probabilities
|
|
gptkbp:publishes
|
published
|
|
gptkbp:railway_line
|
gptkb:COCO_dataset
|
|
gptkbp:requires
|
GPU for training
|
|
gptkbp:security_features
|
occlusions
scale variations
lighting changes
|
|
gptkbp:successor
|
YOL Ov4
|
|
gptkbp:supports
|
multiple classes
|
|
gptkbp:tutorials
|
available online
|
|
gptkbp:uses
|
convolutional neural networks
|