Indoor scene classification, Domestic object Detection
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 3,000+ images of excavator vehicles from multiple construction site. These images captured and crowdsourced from over 2000+ different locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety of Kitchen images. This dataset can be used scene classification and domestic object detection.
- Dataset size : 3000+ images
- Captured by : Over 2000+ crowdsource contributors
- Resolution : HD and above (1920x1080 and above)
- Location : Captured with 2000+ locations
- Diversity : Various lighting conditions like day, night, varied distances, view points etc.
- Device used : Captured using mobile phones in 2020-2022
- Usage : Image classification, domestic object detection, objects relationship understanding etc.
COCO, YOLO, PASCAL-VOC, Tf-Record
To download full datasets or to submit a request for your dataset needs, please ping us at sales@datacluster.ai Visit www.datacluster.ai to know more.
Note:
All the images are manually captured and verified by a large contributor base on DataCluster platform.