Toycar detection and tracking Computer Vision Project
Updated 2 years ago
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A project overview: A beginning CV project to work using Yolov5 and Yolov8's Transfer Learning custom models.
Descriptions of each class type: The images were taken from a 15 seconds video (link below) with 7 frames per second. Therefore, the images are already lined up in sequence actually. The classes are derived from the images frame comprises of: car, truck, bus. The dataset is unbalance.
Current status and timeline: Completed
Links to external resources: Credit the video source: https://www.youtube.com/watch?v=ucEG-uM5v_0
Contribution and labeling guidelines: Using Roboflow annotation tools, it has save tremedous time to annotate.
Hope this is useful!
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
toycar-detection-and-tracking_dataset,
title = { Toycar detection and tracking Dataset },
type = { Open Source Dataset },
author = { Sean Tan },
howpublished = { \url{ https://universe.roboflow.com/sean-tan-oolsh/toycar-detection-and-tracking } },
url = { https://universe.roboflow.com/sean-tan-oolsh/toycar-detection-and-tracking },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2025-01-24 },
}