Domestic Trash Computer Vision Project
Updated a year ago
Domestic Trash / Garbage Dataset
Dataset for trash detection
About Dataset
This dataset is collected by DataCluster Labs, India. 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 9000+ original Trash/Garbage images captured and crowdsourced from over 2000+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at ****DC Labs.
Dataset Features
- Dataset size : 9000+
- Captured by : Over 2000+ crowdsource contributors
- Resolution : 99.9% images HD and above (1920x1080 and above)
- Location : Captured across 500+ cities
- Diversity : Various lighting conditions like day, night, varied distances, different material view points etc.
- Device used : Captured using mobile phones in 2020-2022
- Usage : Trash detection, Material classification, Garbage segregation, Trash segregation, 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.
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{
domestic-trash_dataset,
title = { Domestic Trash Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/domestic-trash } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/domestic-trash },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-11-21 },
}