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gptkbp:instance_of
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gptkb:cosmic_ray_detector
|
|
gptkbp:application
|
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles
gptkb:robotics
Surveillance Systems
Retail Analytics
|
|
gptkbp:architecture
|
gptkb:neural_networks
|
|
gptkbp:based_on
|
gptkb:YOLOv6
|
|
gptkbp:community_support
|
User Contributions
Research Papers Published
Documentation Available
Tutorials Available
Active Git Hub Repository
|
|
gptkbp:developed_by
|
gptkb:Wong_Kin_Yiu
|
|
gptkbp:evaluates
|
Benchmarking against Faster R-CNN
Benchmarking against SSD
Benchmarking against YOLOv5
|
|
gptkbp:feature
|
gptkb:Feature_Pyramid_Network
Model Compression
Dynamic Head
Multi-scale Detection
Spatial Attention Mechanism
|
|
gptkbp:goal
|
Efficiency
Scalability
Robustness
High Accuracy
Real-time Detection
|
|
gptkbp:has_achieved
|
High m AP (mean Average Precision)
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv6l
|
|
gptkbp:improves
|
Inference Speed
|
|
gptkbp:is_a_framework_for
|
gptkb:Py_Torch
|
|
gptkbp:license
|
gptkb:Open_Source
|
|
gptkbp:performance
|
m AP (mean Average Precision)
FPS (Frames Per Second)
|
|
gptkbp:predecessor
|
gptkb:YOLOv5
|
|
gptkbp:provides_information_on
|
gptkb:Pascal_VOC
gptkb:COCO_Dataset
|
|
gptkbp:related_to
|
gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:machine_learning
gptkb:Deep_Learning
Image Processing
|
|
gptkbp:release_date
|
gptkb:2022
|
|
gptkbp:repository
|
gptkb:Git_Hub
|
|
gptkbp:successor
|
gptkb:YOLOv7
|
|
gptkbp:supports
|
Real-time Object Detection
|
|
gptkbp:uses
|
Anchor-free Detection
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:YOLOv6
|
|
gptkbp:bfsLayer
|
6
|