Transparent Object Detection Computer Vision Project
Updated a year ago
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
- Dataset size : 3000+
- Captured by : Over 500+ crowdsource contributors
- Resolution : 99% images HD and above (1920x1080 and above)
- Location : Captured with 600+ cities accross India
- Diversity : Diversity in object type, lighting, camera type etc.
- Device used : Captured using mobile phones in 2020-2022
- 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.
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Cite This Project
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 2024-11-19 },
}