Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cosmic_ray_detector
|
| gptkbp:application |
gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles gptkb:robotics Surveillance Systems |
| gptkbp:architecture |
gptkb:neural_networks
|
| gptkbp:based_on |
gptkb:YOLOv3
|
| gptkbp:community_support |
Active Community
|
| gptkbp:designed_for |
Real-time Object Detection
|
| gptkbp:developed_by |
gptkb:Joseph_Redmon
|
| gptkbp:evaluates |
F1 Score
Precision Recall |
| gptkbp:feature |
Lightweight
Low Latency Modular Design Real-time Processing Robustness High Throughput Integration with Other Tools Versatility High Accuracy Visualization Tools Customizable Scalable Extensible Easy to Use Support for Cloud Deployment Support for Mobile Deployment Support for Batch Processing Support for Multiple Frameworks User-friendly Documentation Support for Edge Deployment Support for Io T Devices Fast Inference Multi-class Detection Pre-trained Weights Available Support for Custom Hardware Support for Different Input Formats Support for Different Output Formats Support for Offline Learning Support for Online Learning Compatibility with CPUs Compatibility with GPUs |
| https://www.w3.org/2000/01/rdf-schema#label |
Tiny YOLOv3-5l
|
| gptkbp:input_output |
Bounding Boxes
416x416 |
| gptkbp:language |
gptkb:C
gptkb:Python |
| gptkbp:latest_version |
5l
|
| gptkbp:license |
gptkb:Open_Source
|
| gptkbp:model |
Small
|
| gptkbp:performance |
m AP (mean Average Precision)
|
| gptkbp:provides_information_on |
gptkb:COCO_Dataset
|
| gptkbp:release_date |
gptkb:2019
|
| gptkbp:repository |
gptkb:Git_Hub
|
| gptkbp:speed |
High FPS (Frames Per Second)
|
| gptkbp:successor |
gptkb:YOLOv4
gptkb:YOLOv5 |
| gptkbp:training |
gptkb:stage_adaptation
|
| gptkbp:uses |
Darknet Framework
|
| gptkbp:bfsParent |
gptkb:Tiny_YOLOv3
|
| gptkbp:bfsLayer |
7
|