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gptkbp:instance_of
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gptkb:cosmic_ray_detector
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gptkbp:architecture
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Single Shot Detector
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gptkbp:available_in
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gptkb:Open_Source
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gptkbp:based_on
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gptkb:YOLOv3
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gptkbp:can_detect
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gptkb:vehicles
gptkb:animals
gptkb:humans
Objects
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gptkbp:coat_of_arms
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gptkb:11
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gptkbp:designed_for
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Real-time Object Detection
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gptkbp:developed_by
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gptkb:Joseph_Redmon
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gptkbp:has_applications_in
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gptkb:Augmented_Reality
gptkb:Retail
gptkb:Autonomous_Vehicles
gptkb:sports_team
gptkb:Industrial_Automation
gptkb:robotics
Drone Technology
Healthcare
Traffic Monitoring
Surveillance
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gptkbp:has_limitations
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Less Robust to Small Objects
Requires Fine-tuning for Specific Tasks
Lower Accuracy Compared to YOLOv3
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|
https://www.w3.org/2000/01/rdf-schema#label
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Tiny YOLOv3-11l
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gptkbp:initiated_by
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gptkb:Leaky_Re_LU
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gptkbp:input_output
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Bounding Boxes
416x416
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gptkbp:is_a_framework_for
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gptkb:Darknet
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gptkbp:is_compared_to
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gptkb:YOLOv3
|
|
gptkbp:is_optimized_for
|
gptkb:Speed
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gptkbp:is_part_of
|
YOLO Family
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|
gptkbp:is_popular_in
|
Computer Vision Community
|
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gptkbp:is_supported_by
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gptkb:Documentation
gptkb:Tutorials
Community Contributions
Pre-trained Models
|
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gptkbp:is_trained_in
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gptkb:COCO_Dataset
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gptkbp:is_used_by
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gptkb:developers
gptkb:researchers
Data Scientists
AI Practitioners
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gptkbp:performance
|
m AP (mean Average Precision)
|
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gptkbp:release_date
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gptkb:2019
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gptkbp:requires
|
GPU for Training
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gptkbp:runs_through
|
gptkb:mobile_devices
gptkb:Embedded_Systems
Edge Devices
|
|
gptkbp:supports
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Multiple Classes
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gptkbp:uses
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gptkb:neural_networks
|
|
gptkbp:uses_data_augmentation
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gptkb:Yes
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gptkbp:uses_loss_function
|
Cross-Entropy Loss
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gptkbp:written_in
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gptkb:C
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gptkbp:bfsParent
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gptkb:Tiny_YOLOv3
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gptkbp:bfsLayer
|
7
|