|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:can_detect
|
multiple classes
|
|
gptkbp:developed_by
|
gptkb:Ultralytics
|
|
gptkbp:has_version
|
v5.1
v5.0
v5.2
v6.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv5
|
|
gptkbp:improves
|
real-time object detection
|
|
gptkbp:includes
|
transfer learning
data augmentation techniques
|
|
gptkbp:is_a_framework_for
|
gptkb:Py_Torch
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Keras
gptkb:Open_CV
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA
TPU
|
|
gptkbp:is_popular_in
|
computer vision community
|
|
gptkbp:is_trained_in
|
gptkb:COCO_dataset
custom datasets
VOC dataset
|
|
gptkbp:is_used_for
|
image classification
video analysis
image segmentation
|
|
gptkbp:is_used_in
|
gptkb:sports_team
gptkb:medical_imaging
gptkb:vehicles
gptkb:drones
gptkb:robotics
agriculture
augmented reality
industrial automation
smart cities
security systems
wildlife conservation
surveillance systems
facial recognition
traffic monitoring
retail analytics
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:performance
|
gptkb:Faster_R-CNN
gptkb:YOLOv4
gptkb:SSD
m AP (mean Average Precision)
FPS (Frames Per Second)
|
|
gptkbp:provides
|
bounding box predictions
|
|
gptkbp:release_date
|
June 2020
|
|
gptkbp:repository
|
gptkb:Git_Hub
|
|
gptkbp:successor
|
gptkb:YOLOv4
|
|
gptkbp:supports
|
model pruning
model quantization
multi-scale detection
|
|
gptkbp:uses
|
gptkb:neural_networks
|
|
gptkbp:bfsParent
|
gptkb:YOLO
|
|
gptkbp:bfsLayer
|
5
|