AUB Hackathon - Mark 1 Computer Vision Project
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.
YOLOv8
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{ https://universe.roboflow.com/aub-hackathon/aub-hackathon-mark-1 } },
url = { https://universe.roboflow.com/aub-hackathon/aub-hackathon-mark-1 },
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.
Source
Last Updated
4 months ago
Project Type
Object Detection
Subject
kitchen-objects
Classes
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
Views: 7
Downloads: 0
