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gptkbp:instanceOf
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gptkb:object_detection_algorithm
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gptkbp:alsoKnownAs
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gptkb:YOLO9000
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gptkbp:application
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autonomous vehicles
robotics
video surveillance
real-time object tracking
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gptkbp:architecture
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gptkb:convolutional_neural_network
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gptkbp:developedBy
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gptkb:Ali_Farhadi
gptkb:Joseph_Redmon
gptkb:Santosh_Divvala
gptkb:Ross_Girshick
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gptkbp:improves
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joint training on detection and classification
faster than Faster R-CNN
higher mAP than YOLO
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gptkbp:influenced
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YOLOv3 neural network
YOLOv4 neural network
YOLOv5 neural network
YOLOv7 neural network
YOLOv8 neural network
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gptkbp:input
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gptkb:illustrator
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gptkbp:language
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C
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gptkbp:license
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public domain
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gptkbp:notableFeature
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batch normalization
real-time detection
anchor boxes
single neural network for detection
improved accuracy over YOLO
multi-scale training
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gptkbp:notablePublication
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gptkb:YOLO9000:_Better,_Faster,_Stronger
https://arxiv.org/abs/1612.08242
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gptkbp:numberOfStudents
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9000
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gptkbp:openSource
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yes
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gptkbp:output
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class labels
bounding boxes
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gptkbp:platform
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deep learning
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gptkbp:predecessor
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YOLO neural network
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gptkbp:publicationYear
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2017
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gptkbp:repository
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https://github.com/pjreddie/darknet
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gptkbp:successor
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YOLOv3 neural network
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gptkbp:trainer
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gptkb:COCO_dataset
gptkb:ImageNet
VOC dataset
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gptkbp:uses
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Darknet framework
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gptkbp:bfsParent
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gptkb:KPU_(Kendryte_Processing_Unit)
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gptkbp:bfsLayer
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8
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https://www.w3.org/2000/01/rdf-schema#label
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YOLOv2 neural network
|