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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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Real-time object detection
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gptkbp:architecture
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gptkb:neural_networks
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gptkbp:based_on
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gptkb:YOLOv5
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gptkbp:community_support
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Active community on Git Hub
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gptkbp:developed_by
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gptkb:Ultralytics
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gptkbp:evaluates
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Precision
Recall
F1 score
Benchmarking against other models
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gptkbp:features
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Quantization
Transfer learning
Multi-scale predictions
Model pruning
Auto-learning bounding box anchors
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https://www.w3.org/2000/01/rdf-schema#label
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YOLOv5x
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gptkbp:hyperparameters
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Batch size
Learning rate
Number of epochs
Optimizer type
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gptkbp:input_output
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gptkb:Images
Bounding boxes and class probabilities
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:language
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gptkb:Python
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gptkbp:latest_version
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v5.x
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gptkbp:license
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GPL-3.0
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gptkbp:losses
|
Cross-entropy loss
Io U loss
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gptkbp:model
|
Large
Single-stage detector
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gptkbp:output_layer
|
Detection head
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gptkbp:performance
|
m AP (mean Average Precision)
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gptkbp:platform
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gptkb:Linux
gptkb:Mac_OS
gptkb:Windows
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gptkbp:predecessor
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gptkb:YOLOv4
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gptkbp:provides_information_on
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gptkb:COCO_dataset
Flipping
Color jittering
Random cropping
Random scaling
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gptkbp:release_date
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gptkb:2020
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gptkbp:repository
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gptkb:Git_Hub
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gptkbp:successor
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gptkb:YOLOv6
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gptkbp:supports
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GPU acceleration
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gptkbp:training
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Varies based on dataset size
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gptkbp:training_programs
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gptkb:board_game
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gptkbp:use_case
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Autonomous vehicles
Industrial automation
Surveillance systems
Retail analytics
Healthcare monitoring
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gptkbp:uses
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gptkb:Deep_Learning
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gptkbp:bfsParent
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gptkb:YOLO_family
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gptkbp:bfsLayer
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7
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