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gptkbp:instance_of
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gptkb:cosmic_ray_detector
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gptkbp:application
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gptkb:Autonomous_Vehicles
gptkb:robotics
Surveillance Systems
Retail Analytics
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gptkbp:architecture
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gptkb:neural_networks
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gptkbp:community_support
|
Active Community
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gptkbp:developed_by
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gptkb:Ultralytics
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gptkbp:evaluates
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gptkb:KITTI
gptkb:Open_Images
gptkb:PASCAL_VOC
F1 Score
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gptkbp:feature
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gptkb:stage_adaptation
gptkb:Hyperparameter_Tuning
Quantization
Data Augmentation
Model Pruning
Real-time Tracking
Visualization Tools
Model Ensembling
Anchor Boxes
Multi-scale Detection
Custom Dataset Training
Export to Core ML
Export to ONNX
Export to Tensor RT
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|
https://www.w3.org/2000/01/rdf-schema#label
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YOLOv5s
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gptkbp:input_output
|
Bounding Boxes
RGB Images
640x640
JSON or CSV
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gptkbp:is_a_framework_for
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gptkb:Py_Torch
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gptkbp:is_compared_to
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gptkb:Efficient_Det
gptkb:Faster_R-CNN
gptkb:YOLOv4
gptkb:SSD
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gptkbp:language
|
gptkb:Python
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gptkbp:latest_version
|
v5.0
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gptkbp:license
|
GPL-3.0
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gptkbp:model
|
gptkb:medium
Small
Large
Extra Large
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gptkbp:performance
|
Low Latency
High Accuracy
m AP (mean Average Precision)
Fast Inference Speed
|
|
gptkbp:pretrained_weights
|
Available
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gptkbp:provides_information_on
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gptkb:COCO_Dataset
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gptkbp:release_date
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gptkb:2020
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gptkbp:repository
|
gptkb:Git_Hub
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gptkbp:resolution
|
640x640
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gptkbp:successor
|
gptkb:YOLOv5
|
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gptkbp:system_requirements
|
GPU Recommended
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gptkbp:training
|
gptkb:Varies
|
|
gptkbp:training_programs
|
Ultralytics Hub
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gptkbp:tutorials
|
Available Online
|
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gptkbp:uses
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Real-time Object Detection
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gptkbp:bfsParent
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gptkb:YOLO_family
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gptkbp:bfsLayer
|
7
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