Truck Detection Computer Vision Project
TRY THIS MODEL
Drop an image or
This dataset is produced by the Paekun High School Club, ALOCOL, in South Korea
How to make?
- Collect various truck photos on the Internet.
- Specify a class for each photo.
- Download dataset
- Upload on YOLOv5 Custom Training
- Check the result
- Download best.pt in runs/train/exp folder
- Try on desktop and raspberrypi
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
truck-detection-l2io7_dataset,
title = { Truck Detection Dataset },
type = { Open Source Dataset },
author = { ALCOL },
howpublished = { \url{ https://universe.roboflow.com/alcol/truck-detection-l2io7 } },
url = { https://universe.roboflow.com/alcol/truck-detection-l2io7 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-05-07 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Truck Detection project in your project.
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