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Cardboard Box Detection

Dataset for cardboard detection.

**About Dataset

A curated collection of images for object detection tasks related to cardboard materials. This dataset is designed to facilitate research and development in computer vision and machine learning, particularly in the area of object detection and recognition.

**This dataset is collected by DataCluster Labs, India. To download the 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 1000+ original Cardboard images captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at ****DC Labs.

Dataset Features

Dataset size: 1000+
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: Cardboard box detection and localization, Recycling and waste management, Garbage segregation, Trash segregation, etc.

Potential Applications:

Recycling Automation: Detect cardboard objects in waste sorting facilities to automate recycling processes.
Environmental Monitoring: Identify cardboard waste in public spaces for environmental conservation efforts.
Retail Inventory Management: Track and manage inventory in retail environments with prevalent cardboard packaging.
Smart Waste Management Optimize waste collection routes by identifying cardboard disposal points.

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.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            cardboard-box-detection-zx37b_dataset,
                            title = { Cardboard Box Detection Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/cardboard-box-detection-zx37b } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/cardboard-box-detection-zx37b },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-05-02 },
                            }