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gptkbp:instance_of
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gptkb:cosmic_ray_detector
|
|
gptkbp:architecture
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gptkb:neural_networks
|
|
gptkbp:can_detect
|
Objects in Images
|
|
gptkbp:developed_by
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gptkb:Wong_Kin_Yiu
|
|
gptkbp:features
|
Multi-scale Detection
|
|
gptkbp:has
|
Pre-trained Models
|
|
gptkbp:has_achieved
|
High Accuracy
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|
https://www.w3.org/2000/01/rdf-schema#label
|
YOLOv6x
|
|
gptkbp:improves
|
Real-time Object Detection
|
|
gptkbp:includes
|
Data Augmentation Techniques
|
|
gptkbp:is_adopted_by
|
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles
gptkb:sports_team
gptkb:Industrial_Automation
gptkb:Education
gptkb:robotics
Disaster Response
Facial Recognition
Surveillance Systems
Agricultural Monitoring
Gaming Industry
Healthcare Applications
Military Applications
Smart Cities
Traffic Management
Wildlife Monitoring
Retail Analytics
|
|
gptkbp:is_available_on
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gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_evaluated_by
|
gptkb:Pascal_VOC
FPS Metric
m AP Metric
|
|
gptkbp:is_optimized_for
|
Speed and Efficiency
|
|
gptkbp:is_part_of
|
gptkb:YOLO_Series
|
|
gptkbp:is_trained_in
|
gptkb:COCO_Dataset
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
|
|
gptkbp:is_used_in
|
Computer Vision Applications
|
|
gptkbp:performance
|
gptkb:Faster_R-CNN
gptkb:YOLOv5
gptkb:SSD
|
|
gptkbp:provides
|
Bounding Box Predictions
|
|
gptkbp:release_date
|
gptkb:2022
|
|
gptkbp:successor
|
gptkb:YOLOv5
|
|
gptkbp:supports
|
Multiple Classes
|
|
gptkbp:uses
|
gptkb:Deep_Learning
|
|
gptkbp:written_in
|
gptkb:Python
|
|
gptkbp:bfsParent
|
gptkb:YOLOv6
|
|
gptkbp:bfsLayer
|
6
|