Statements (162)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:dictionary
gptkb:Model |
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:The_Lonely_Island
gptkb:Image_Net gptkb:Mask_R-CNN |
| gptkbp:adapted_into |
various applications
different datasets |
| gptkbp:allows |
requires large datasets
overlapping objects small object detection |
| gptkbp:applies_to |
image processing
computer vision real-time object detection |
| gptkbp:associated_with |
gptkb:festival
gptkb:amusement_park mindfulness courage risk-taking travel adventure sports fun personal freedom new experiences positivity living life to the fullest live in the moment |
| gptkbp:based_on |
grid system
single neural network |
| gptkbp:competes_with |
gptkb:Faster_R-CNN
gptkb:SSD_(Single_Shot_Multi_Box_Detector) |
| gptkbp:developed_by |
gptkb:Joseph_Redmon
|
| gptkbp:first_released |
gptkb:2015
gptkb:2016 |
| gptkbp:has_achievements |
high accuracy
|
| gptkbp:has_impact_on |
gptkb:software_framework
deep learning AI development |
| gptkbp:has_programs |
gptkb:robot
gptkb:engine augmented reality surveillance video analysis |
| gptkbp:has_variants |
YOL Ov2
YOL Ov3 YOL Ov4 YOL Ov5 |
| gptkbp:has_version |
YOL Ov2
YOL Ov3 YOL Ov4 YOL Ov5 YOL Ov1 YOL Ov6 YOL Ov7 |
| https://www.w3.org/2000/01/rdf-schema#label |
YOLO
|
| gptkbp:improves |
real-time object detection
detection speed |
| gptkbp:influenced |
gptkb:political_movement
lifestyle choices digital content youth culture personal branding online challenges |
| gptkbp:influenced_by |
gptkb:Rapper
gptkb:R-CNN |
| gptkbp:input_output |
bounding boxes
class probabilities |
| gptkbp:inspired |
gptkb:documentaries
gptkb:item gptkb:artwork social gatherings networking events |
| gptkbp:is_a_framework_for |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:is_adopted_by |
gptkb:physicist
gptkb:software industry professionals |
| gptkbp:is_documented_in |
gptkb:archive
research papers tutorials online courses |
| gptkbp:is_evaluated_by |
frames per second (FPS)
m AP (mean Average Precision) mean average precision (m AP) |
| gptkbp:is_implemented_in |
gptkb:C++
gptkb:Library Darknet framework |
| gptkbp:is_influenced_by |
advancements in hardware
real-time processing needs |
| gptkbp:is_known_for |
gptkb:military_unit
accuracy speed and efficiency accuracy in detection |
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_part_of |
AI applications
machine learning projects deep learning frameworks |
| gptkbp:is_popular_in |
gptkb:film_production_company
gptkb:Research_Institute computer vision community |
| gptkbp:is_scalable |
gptkb:theorem
|
| gptkbp:is_supported_by |
gptkb:DJ
gptkb:Graphics_Processing_Unit gptkb:Open_CV gptkb:Py_Torch community contributions |
| gptkbp:is_used_by |
influencers
|
| gptkbp:is_used_for |
image classification
video analysis face detection object tracking |
| gptkbp:is_used_in |
gptkb:robot
gptkb:engine augmented reality surveillance systems image classification face detection object tracking video tracking |
| gptkbp:known_for |
single-stage detection
|
| gptkbp:latest_version |
YOL Ov5
|
| gptkbp:origin |
gptkb:2011
|
| gptkbp:recognizes |
multiple objects
small objects |
| gptkbp:related_to |
gptkb:FOMO
gptkb:Community_Center entrepreneurship personal growth spontaneity youth empowerment self-discovery self-expression self-care celebrity culture self-empowerment cultural phenomena life philosophy hashtag culture |
| gptkbp:requires |
GPU for optimal performance
|
| gptkbp:supports |
multiple classes
|
| gptkbp:symbol |
You Only Live Once
|
| gptkbp:training |
gptkb:Pascal_VOC
gptkb:COCO_dataset gptkb:Pascal_VOC_dataset custom datasets |
| gptkbp:used_in |
gptkb:musical
gptkb:Basketball_Player gptkb:museum gptkb:battle gptkb:film charity events community events events social media workshops youth programs retreats memes motivational speeches motivational quotes |
| gptkbp:uses |
convolutional neural networks
|
| gptkbp:utilizes |
bounding boxes
|