Singapore Polytechnic

Yolo Attempt

Object Detection

Yolo Attempt Computer Vision Project

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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.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ yolo-attempt_dataset,
    title = { Yolo Attempt Dataset },
    type = { Open Source Dataset },
    author = { Singapore Polytechnic },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-11 },

Find utilities and guides to help you start using the Yolo Attempt project in your project.

Last Updated

a month ago

Project Type

Object Detection




Door, Engine, Forward Landing Gear, Fuselage, Horizontal Stabiliser, HorizontalStabiliser, Rear Landing Gear, Vertical Stabiliser, VerticalStabiliser, Window, Wing

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CC BY 4.0