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Bottles and Cups Dataset | Household Objects

Plastic Bottles and cups images for Object Detection

About Dataset

**To download full datasets or to submit a request for your dataset needs, please email on: sales@datacluster.ai This dataset consists of images of bottles and cups. **

Introduction

Dataset consists of images of bottle and cups captured using mobile phones in a real-world scenario. Images were captured under a wide variety of indoor lighting conditions. This dataset can be used for the detection of a wide variety of bottles and cups made up of a variety of materials from a lot of different of viewpoints, locations, orientations, etc.

Dataset Features

Captured by 3000+ unique users
Captured using mobile phones
Variety of different material of bottles and cups
HD Resolution
Highly diverse
Various lighting conditions
Indoor scenes

Dataset Features

Classification and detection annotations available
Multiple category annotations possible
COCO, PASCAL VOC and YOLO formats

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Cite This Project

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

@misc{
                            bottles-and-cup_dataset,
                            title = { Bottles and Cup Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/bottles-and-cup } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/bottles-and-cup },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-28 },
                            }