|
gptkbp:instance_of
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gptkb:cosmic_ray_detector
|
|
gptkbp:application
|
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles
gptkb:robotics
Surveillance Systems
|
|
gptkbp:architecture
|
gptkb:neural_networks
|
|
gptkbp:community_support
|
gptkb:Documentation
gptkb:Tutorials
gptkb:Git_Hub
Forums
|
|
gptkbp:dataset_used_for_training
|
gptkb:COCO
|
|
gptkbp:developed_by
|
gptkb:Wong_Kin_Yiu
|
|
gptkbp:evaluates
|
gptkb:KITTI
gptkb:PASCAL_VOC
F1 Score
Precision
Recall
|
|
gptkbp:feature
|
gptkb:Feature_Pyramid_Network
High Speed
High Accuracy
Lightweight Model
Channel Attention Mechanism
Dynamic Head
Multi-scale Detection
Spatial Attention Mechanism
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv6s
|
|
gptkbp:improves
|
gptkb:YOLOv5
|
|
gptkbp:influenced_by
|
gptkb:Efficient_Det
gptkb:YOLOv4
|
|
gptkbp:input_output
|
gptkb:Images
Bounding Boxes
Class Labels
|
|
gptkbp:latest_version
|
6.0
|
|
gptkbp:license
|
gptkb:Open_Source
|
|
gptkbp:optimization_technique
|
gptkb:stage_adaptation
Data Augmentation
|
|
gptkbp:performance
|
gptkb:Faster_R-CNN
gptkb:YOLOv5
gptkb:SSD
m AP (mean Average Precision)
|
|
gptkbp:predecessor
|
gptkb:YOLOv5
|
|
gptkbp:provides_information_on
|
Annotated Images
|
|
gptkbp:related_to
|
gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:machine_learning
gptkb:Deep_Learning
|
|
gptkbp:release_date
|
gptkb:2022
|
|
gptkbp:software_requirement
|
gptkb:cu_DNN
gptkb:CUDA
|
|
gptkbp:successor
|
gptkb:YOLOv7
|
|
gptkbp:supports
|
Real-time Object Detection
|
|
gptkbp:system_requirements
|
gptkb:NVIDIA
High RAM
|
|
gptkbp:training
|
Shorter than YOLOv5
|
|
gptkbp:training_programs
|
gptkb:Py_Torch
|
|
gptkbp:uses
|
Anchor-free Detection
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:YOLOv6
|
|
gptkbp:bfsLayer
|
6
|