|
gptkbp:instance_of
|
gptkb:cosmic_ray_detector
|
|
gptkbp:based_on
|
gptkb:YOLOv3
|
|
gptkbp:can
|
Video Streams
|
|
gptkbp:can_detect
|
gptkb:vehicles
gptkb:animals
gptkb:humans
Objects
Objects in Images
|
|
gptkbp:designed_for
|
Real-time Object Detection
|
|
gptkbp:developed_by
|
gptkb:Joseph_Redmon
Real-time Processing
|
|
gptkbp:has
|
Fewer Parameters
Smaller Model Size
|
|
gptkbp:has_achieved
|
High Speed
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tiny YOLOv3-3l
|
|
gptkbp:improves
|
Tiny YOLOv2
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compared_to
|
gptkb:Faster_R-CNN
gptkb:SSD
|
|
gptkbp:is_evaluated_by
|
gptkb:Pascal_VOC
Inference Time
Mean Average Precision (m AP)
|
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Python
gptkb:Py_Torch
|
|
gptkbp:is_known_for
|
Speed and Efficiency
|
|
gptkbp:is_optimized_for
|
Low Latency
Low Power Devices
|
|
gptkbp:is_part_of
|
Computer Vision Applications
YOLO Family
|
|
gptkbp:is_recommended_for
|
Real-time Applications
|
|
gptkbp:is_tested_for
|
Benchmark Datasets
|
|
gptkbp:is_trained_in
|
gptkb:stage_adaptation
gptkb:COCO_Dataset
|
|
gptkbp:is_used_in
|
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles
gptkb:drones
gptkb:robotics
Mobile Applications
Surveillance Systems
Smart Cameras
|
|
gptkbp:is_utilized_in
|
gptkb:Industrial_Automation
gptkb:smart_home_devices
Traffic Monitoring
Facial Recognition
Retail Analytics
Healthcare Monitoring
|
|
gptkbp:provides
|
Bounding Box Predictions
|
|
gptkbp:released_in
|
gptkb:2018
|
|
gptkbp:suitable_for
|
gptkb:Edge_Computing
|
|
gptkbp:supports
|
Multiple Classes
|
|
gptkbp:uses
|
gptkb:neural_networks
|
|
gptkbp:bfsParent
|
gptkb:Tiny_YOLOv3
|
|
gptkbp:bfsLayer
|
7
|