Statements (46)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
object detection algorithm
|
| gptkbp:alsoKnownAs |
gptkb:YOLO9000
|
| gptkbp:application |
autonomous vehicles
robotics video surveillance real-time object tracking |
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:developedBy |
gptkb:Ali_Farhadi
gptkb:Joseph_Redmon gptkb:Santosh_Divvala gptkb:Ross_Girshick |
| https://www.w3.org/2000/01/rdf-schema#label |
YOLOv2 neural network
|
| gptkbp:improves |
joint training on detection and classification
faster than Faster R-CNN higher mAP than YOLO |
| gptkbp:influenced |
YOLOv3 neural network
YOLOv4 neural network YOLOv5 neural network YOLOv7 neural network YOLOv8 neural network |
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:language |
C
|
| gptkbp:license |
public domain
|
| gptkbp:notableFeature |
batch normalization
real-time detection anchor boxes single neural network for detection improved accuracy over YOLO multi-scale training |
| gptkbp:notablePublication |
gptkb:YOLO9000:_Better,_Faster,_Stronger
https://arxiv.org/abs/1612.08242 |
| gptkbp:numberOfStudents |
9000
|
| gptkbp:openSource |
yes
|
| gptkbp:output |
class labels
bounding boxes |
| gptkbp:platform |
deep learning
|
| gptkbp:predecessor |
YOLO neural network
|
| gptkbp:publicationYear |
2017
|
| gptkbp:repository |
https://github.com/pjreddie/darknet
|
| gptkbp:successor |
YOLOv3 neural network
|
| gptkbp:trainer |
gptkb:COCO_dataset
gptkb:ImageNet VOC dataset |
| gptkbp:uses |
Darknet framework
|
| gptkbp:bfsParent |
gptkb:KPU_(Kendryte_Processing_Unit)
|
| gptkbp:bfsLayer |
7
|