YOLO (You Only Look Once)

GPTKB entity

Statements (47)
Predicate Object
gptkbp:instance_of gptkb:Model
gptkbp:allows requires large datasets
overlapping objects
small object detection
gptkbp:applies_to real-time object detection
gptkbp:based_on single neural network
gptkbp:competes_with gptkb:Faster_R-CNN
gptkbp:developed_by gptkb:Joseph_Redmon
gptkbp:first_released gptkb:2016
gptkbp:has_programs gptkb:robot
gptkb:engine
augmented reality
surveillance systems
video analysis
gptkbp:has_variants YOL Ov2
YOL Ov3
YOL Ov4
https://www.w3.org/2000/01/rdf-schema#label YOLO (You Only Look Once)
gptkbp:improves detection speed
gptkbp:influenced_by gptkb:Alex_Net
gptkb:SSD_(Single_Shot_Multi_Box_Detector)
gptkbp:input_output bounding boxes
class probabilities
gptkbp:is_evaluated_by frames per second (FPS)
mean Average Precision (m AP)
gptkbp:is_implemented_in gptkb:C++
gptkb:Library
gptkbp:is_known_for high accuracy
fast inference time
gptkbp:is_open_source gptkb:theorem
gptkbp:is_popular_in AI development
machine learning research
computer vision community
gptkbp:is_supported_by gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
NVIDIAGP Us
gptkbp:is_used_in gesture recognition
image classification
face detection
object tracking
gptkbp:latest_version YOL Ov5
gptkbp:railway_line gptkb:COCO_dataset
gptkbp:uses convolutional neural networks
gptkbp:bfsParent gptkb:Joseph_Redmon
gptkb:RCNN
gptkb:SSD_(Single_Shot_Multi_Box_Detector)
gptkbp:bfsLayer 6