Transparent Object Detection Computer Vision Project

DataCluster Labs

Updated a year ago

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transparent_glass
Description

Transparent Object Images | Indoor Object Dataset

Glass detection | Mirror detection | Transparent Cups detection

About Dataset

**This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 3000+ original Transparent object images such as glasses and mirrors are captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DataclusterLabs.**

Dataset Features

  1. Dataset size : 3000+
  2. Captured by : Over 500+ crowdsource contributors
  3. Resolution : 99% images HD and above (1920x1080 and above)
  4. Location : Captured with 600+ cities accross India
  5. Diversity : Diversity in object type, lighting, camera type etc.
  6. Device used : Captured using mobile phones in 2020-2022
  7. Usage : Glass detection | Mirror detection | Transparent Cups detection | Home automation etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

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.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            transparent-object-detection-qayyc_dataset,
                            title = { Transparent Object Detection Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/transparent-object-detection-qayyc } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/transparent-object-detection-qayyc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-12-20 },
                            }