Research output per year
Research output per year
Description
This is a dataset used to train a neural network
This is an 8-class dataset for vehicle classification using You Only Look Once (YOLO) v3. YOLO is an object detector that locates objects in images.
The classes in the dataset are are
(1) car
(2) bus
(3) van
(4) 2-Axle Truck/HGV
(5) 3-Axle Truck/HGV
(6) 4-Axle Truck/HGV
(7) 5-Axle Truck/HGV &
(8) 6-Axle Truck/HGV.
There are also negative images taken from the COCO dataset.
This dataset is linked to a related publication, as well as to a thesis - it formed the basis of a chapter of the thesis.
This is an 8-class dataset for vehicle classification using You Only Look Once (YOLO) v3. YOLO is an object detector that locates objects in images.
The classes in the dataset are are
(1) car
(2) bus
(3) van
(4) 2-Axle Truck/HGV
(5) 3-Axle Truck/HGV
(6) 4-Axle Truck/HGV
(7) 5-Axle Truck/HGV &
(8) 6-Axle Truck/HGV.
There are also negative images taken from the COCO dataset.
This dataset is linked to a related publication, as well as to a thesis - it formed the basis of a chapter of the thesis.
| Date made available | 17 Nov 2020 |
|---|---|
| Publisher | Queen's University Belfast |
Research output
- 1 Article
-
Development and testing of a composite system for bridge health monitoring utilising computer vision and deep learning
Lydon, D., Taylor, S., Lydon, M., Martinez del Rincon, J. & Hester, D., 06 Dec 2019, In: Smart Structures and Systems. 24, 6, p. 723-732Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)158 Downloads (Pure)
Student theses
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Development of a time-synchronised multi-input computer vision system for structural monitioring utilising deep learning for vehicle identification
Lydon, D. (Author), Taylor, S. (Supervisor), Martinez del Rincon, J. (Supervisor) & Hester, D. (Supervisor), Jul 2020Student thesis: Doctoral Thesis › Doctor of Philosophy
File