Mobiusi

Asparagus Packaging Recognition Dataset

#Target detection #image classification #Retail detection #automatic recognition #quality control
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

With the advancement of agricultural modernization, the need for packaging detection of agricultural products such as asparagus is increasing. However, existing automatic recognition systems face challenges such as brand diversity and packaging complexity, leading to low recognition accuracy. This dataset aims to address the accuracy issues in target detection by collecting images of asparagus under different brands and packaging methods. The dataset includes various types of asparagus packaging images, carefully annotated and suitable for packaging detection and automatic recognition in retail scenarios. Data collection was conducted using high-resolution cameras in natural light and standardized environments, combined with both manual and automated annotation processes. For quality control, we implemented multiple rounds of annotation and expert review to ensure consistency and accuracy. Data storage uses JPG format, organized in a directory structure for quick access.

Dataset Insights

Sample Examples

b6a386e6**.jpg|4433*5541|3.47 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
asparagus_brandstringThe brand information of asparagus in the image.
packaging_typestringThe type of packaging used for the asparagus, such as plastic bags or cardboard boxes.
asparagus_quantityintThe number of asparagus visible in the image.
label_visibilitybooleanThe visibility status of the label on the asparagus packaging.
color_variationstringThe color variation of the asparagus, such as green or purple.
package_integritybooleanIndicates whether the packaging is intact or not.
barcode_presentbooleanIndicates whether there is a barcode present on the packaging.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What scenarios is the Asparagus Packaging Recognition Dataset suitable for?
This dataset is suitable for scenarios in the retail industry related to the detection and recognition of asparagus packaging, such as automatically identifying different brands of asparagus products in supermarkets.
Which brands' images are included in the Asparagus Packaging Recognition Dataset?
The dataset contains images of asparagus from multiple brands, but the specific brand names may vary with updates to the dataset version.
How to use the Asparagus Packaging Recognition Dataset for object detection?
To use this dataset for object detection, a deep learning framework like TensorFlow or PyTorch is required, along with relevant object detection algorithms such as YOLO or Faster R-CNN.
What is the image resolution of the Asparagus Packaging Recognition Dataset?
The image resolution in the dataset varies due to different capturing devices and processing requirements. Users should check specific specifications before use.
What machine learning tasks does the Asparagus Packaging Recognition Dataset support?
This dataset is primarily used for object detection tasks, but it can also be extended to other tasks such as image classification and instance segmentation.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2025,
  title={Asparagus Packaging Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/08632bd74ff9ab6856516654025f3ae4?dataset_scene_id=5},
  urldate={2025-09-15},
  keywords={Asparagus packaging recognition, target detection dataset, agricultural dataset, automatic recognition},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches