|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:adapted_into
|
different input sizes
|
|
gptkbp:applies_to
|
real-time object detection
|
|
gptkbp:competes_with
|
gptkb:Faster_R-CNN
|
|
gptkbp:developed_by
|
gptkb:Joseph_Redmon
|
|
gptkbp:first_released
|
gptkb:2016
|
|
gptkbp:has_applications_in
|
gptkb:robotics
augmented reality
surveillance
video analysis
|
|
gptkbp:has_feature
|
single neural network
|
|
gptkbp:has_variants
|
gptkb:YOLOv2
gptkb:YOLOv3
gptkb:YOLOv4
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLO series
|
|
gptkbp:improves
|
detection speed
|
|
gptkbp:input_output
|
bounding boxes
|
|
gptkbp:is_adopted_by
|
research institutions
startups
tech companies
|
|
gptkbp:is_based_on
|
grid system
|
|
gptkbp:is_enhanced_by
|
hyperparameter tuning
data augmentation
transfer learning
|
|
gptkbp:is_evaluated_by
|
real-world datasets
m AP (mean Average Precision)
FPS (Frames Per Second)
|
|
gptkbp:is_implemented_in
|
gptkb:Python
|
|
gptkbp:is_influenced_by
|
gptkb:R-CNN
gptkb:SSD_(Single_Shot_Multi_Box_Detector)
|
|
gptkbp:is_known_for
|
speed and accuracy
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
deep learning frameworks
|
|
gptkbp:is_popular_in
|
computer vision community
|
|
gptkbp:is_supported_by
|
gptkb:Tensor_Flow
gptkb:NVIDIA_GPUs
gptkb:Py_Torch
|
|
gptkbp:is_trained_in
|
gptkb:COCO_dataset
gptkb:Pascal_VOC_dataset
|
|
gptkbp:is_used_for
|
pedestrian detection
face detection
object tracking
animal detection
vehicle detection
|
|
gptkbp:is_used_in
|
gptkb:sports_team
gptkb:medical_imaging
gptkb:vehicles
retail analytics
|
|
gptkbp:latest_version
|
gptkb:YOLOv5
|
|
gptkbp:performance
|
object detection tasks
|
|
gptkbp:supports
|
multiple classes
|
|
gptkbp:uses
|
convolutional neural networks
|
|
gptkbp:uses_anchor_boxes
|
gptkb:true
|
|
gptkbp:bfsParent
|
gptkb:YOLOv4
|
|
gptkbp:bfsLayer
|
6
|