Digital Screen |TV Dataset Computer Vision Project
Updated 4 months ago
13
views1
downloadUnlocking Insights: Annotated Digital/Tv Screens for Computer Vision
About Dataset
This dataset is collected by DataCluster Labs. To download the full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai
The dataset is an extremely challenging set of over 1000+ original Television/TV images captured and crowdsourced from over 400+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.
Dataset Features • Dataset size: 1000+ • Captured by: Over 1000+ crowdsource contributors • Resolution: 98% images HD and above (1920x1080 and above) • Location : Captured with 400+ cities across India • Diversity: Various lighting conditions like day, night, varied distances, viewpoints, etc. • Device used: Captured using mobile phones in 2022-2023 • Usage: Enhancing real-world applications such as smart home systems, retail analytics, and security monitoring.
**Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record
Data Cluster Labs exclusively own the images in this dataset and were not downloaded from the internet. A license can be purchased to access a larger portion of the training dataset for research and commercial purposes. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
digital-screen-tv-dataset_dataset,
title = { Digital Screen |TV Dataset Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/digital-screen-tv-dataset } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/digital-screen-tv-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-11-11 },
}