Tiny YOLOv3-tiny

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:cosmic_ray_detector
gptkbp:application gptkb:robotics
Autonomous vehicles
Image analysis
Surveillance systems
gptkbp:architecture gptkb:neural_networks
gptkbp:community_support Active community
gptkbp:developed_by gptkb:Joseph_Redmon
gptkbp:evaluates Frames per second (FPS)
Performance metrics available
Benchmark results available
Mean Average Precision (m AP)
COCO test-dev
VOC test set
gptkbp:features Batch normalization
Skip connections
Residual connections
Anchor boxes
gptkbp:field_of_study gptkb:Computer_Vision
gptkb:Deep_Learning
gptkbp:has_documentation Available online
https://www.w3.org/2000/01/rdf-schema#label Tiny YOLOv3-tiny
gptkbp:image_preprocessing gptkb:Normalization
Resizing
gptkbp:input_output gptkb:JSON_format
416x416
Bounding boxes and class probabilities
Tensor format
gptkbp:is_a_framework_for gptkb:Open_Source
gptkbp:is_compared_to gptkb:Faster_R-CNN
gptkb:YOLOv3
gptkb:SSD
gptkbp:latest_version v3-tiny
gptkbp:license GPL-3.0
gptkbp:losses Mean Squared Error (MSE)
Cross-entropy loss
gptkbp:model Lightweight model
Real-time model
Smaller than YOLOv3
gptkbp:output_classes 80 (COCO classes)
gptkbp:performance Real-time detection
Lower than YOLOv3
gptkbp:pretrained_models Available for download
gptkbp:provides_information_on gptkb:Open_Images_dataset
gptkb:COCO_dataset
VOC dataset
gptkbp:release_date gptkb:2019
gptkbp:sister_channel 3 (RGB)
gptkbp:speed Faster than YOLOv3
gptkbp:supports Multi-class detection
gptkbp:system_requirements CPU compatible
GPU recommended
gptkbp:training Supervised learning
Shorter than YOLOv3
gptkbp:training_programs gptkb:Tensor_Flow
gptkb:Py_Torch
gptkbp:uses Transfer learning
Darknet Framework
gptkbp:bfsParent gptkb:Tiny_YOLOv3
gptkbp:bfsLayer 7