This is the collection of the Ecuadorian Traffic Officer Detection Dataset. This can be used mainly on Traffic Officer detection projects using YOLO. Dataset is in YOLO format. There are 1862 total images in this dataset fully annotated using  Roboflow Labeling tool.  Dataset is split as follow, 1734 images for training, 81 images for validation and 47 images for testing. Dataset is annotated only as one class-Traffic Officer (EMOV). The dataset produced a Mean Average Precision(mAP) of 96.4 % using YOLOv3m, 99.0 % using YOLOv5x  and 98.10 % using YOLOv8x.

DOI Link: 
10.21227/tczv-h556
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[1] Juan P. Ortiz, Juan D. Valladolid, "Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/tczv-h556. Accessed: Dec. 06, 2024.
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doi = {10.21227/tczv-h556},
url = {http://dx.doi.org/10.21227/tczv-h556},
author = {Juan P. Ortiz; Juan D. Valladolid },
publisher = {IEEE Dataport},
title = {Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format},
year = {2024} }
TY - DATA
T1 - Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format
AU - Juan P. Ortiz; Juan D. Valladolid
PY - 2024
PB - IEEE Dataport
UR - 10.21227/tczv-h556
ER -
Juan P. Ortiz, Juan D. Valladolid. (2024). Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format. IEEE Dataport. http://dx.doi.org/10.21227/tczv-h556
Juan P. Ortiz, Juan D. Valladolid, 2024. Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format. Available at: http://dx.doi.org/10.21227/tczv-h556.
Juan P. Ortiz, Juan D. Valladolid. (2024). "Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format." Web.
1. Juan P. Ortiz, Juan D. Valladolid. Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/tczv-h556
Juan P. Ortiz, Juan D. Valladolid. "Ecuadorian Traffic Officer Detection for Autonomous Vehicles in YOLOv8 format." doi: 10.21227/tczv-h556