Domestic Trash / Garbage 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: [[e-mail]](mailto:[e-mail])**

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 [e-mail] Visit www.datacluster.ai to know more.**

本数据集由印度 DataCluster Labs 收集汇编。欲下载完整数据集或提交新的数据收集需求，请致函：[[e-mail]](mailto:[e-mail])。

### **数据集特性**

- 数据集规模：超过 9000 张图片
- 摄影来源：超过 2000 名众包贡献者
- 分辨率：99.9% 的图片为高清及以上（1920x1080 及以上分辨率）
- 地点：覆盖 500 多个城市
- 多样性：包含各种光照条件，如白天、夜晚，不同距离，不同材质视角等
- 拍摄设备：使用 2020-2022 年间的智能手机拍摄
- 应用领域：垃圾检测、材料分类、垃圾分拣、垃圾分类等。

### **可用标注格式**

COCO、YOLO、PASCAL-VOC、Tf-Record

本数据集中的图像专属于 Data Cluster Labs，且非网络下载。为获取更大规模的训练数据集以供研究和商业用途，可购买许可证。请联系 [e-mail]，或访问 www.datacluster.ai 获取更多信息。

搜集汇总

背景与挑战

背景概述

该数据集包含9000多张高质量垃圾图像，覆盖500多个城市的多样化场景，适用于多种计算机视觉任务。所有图像均经过专业审核，并提供多种标注格式，适合用于AI模型训练和研究。