AUB Hackathon

AUB Hackathon - Mark 1

Object Detection

AUB Hackathon - Mark 1 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{ aub-hackathon-mark-1_dataset,
    title = { AUB Hackathon - Mark 1 Dataset },
    type = { Open Source Dataset },
    author = { AUB Hackathon },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-08 },

Find utilities and guides to help you start using the AUB Hackathon - Mark 1 project in your project.


AUB Hackathon

Last Updated

4 months ago

Project Type

Object Detection




0, Drawer, Plates, bed, bench, bottle, bowl, boxes, cell phone, chair, closet, cup, cups, curtains, diningtable, door, fork, glass frame, glass ware, handbag, hood fan, jar, jug, karton-bardak, kettle, knife, lamp, oven, pisau, plant, plant pot, plate, refrigerator, shelve, sink, sofa, soup ladle, spoon, stove, suitcase, table, tazas, toothbrush, umbrella, water tap, window, wine glass

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CC BY 4.0