Window Image Dataset | Parts of house

Dataset can be used for detecting windows and know parts of house.

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+ originally Window images captured and crowdsourced from over 800+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.

Dataset Features

1. Dataset size : 3000+
2. Captured by : Over 800+ crowdsource contributors
3. Resolution : 100% images HD and above (1920x1080 and above)
4. Location : Captured with 600+ locations accross India
5. Diversity : Various lighting conditions like day, night, varied distances, view points etc.
6. Device used : Captured using mobile phones in 2020-2022
7. Usage : Window detection , Windos Edge detection , Computer Vision , 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.

                        @misc{
                            window-image-dataset-parts-of-house_dataset,
                            title = { Window Image Dataset | Parts of house Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/window-image-dataset-parts-of-house } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/window-image-dataset-parts-of-house },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-24 },
                            }