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tags:
  - object detection
  - image recognition
  - machine learning
  - automated assembly
  - retail management
  - product recognition
license: cc-by-nc-sa-4.0
task_categories:
  - object-detection
language:
  - en
pretty_name: Suction Hook Slot Installation Detection Dataset
size_categories:
  - 1B<n<10B

Suction Hook Slot Installation Detection Dataset

The current retail e-commerce industry is facing issues of low efficiency in automated assembly. Traditional assembly methods rely on manual labor, which is prone to errors and is not very efficient. Existing solutions often depend on simple image recognition technology, which cannot meet the precise detection needs in complex environments. This dataset aims to solve slot detection issues in the automated assembly process by providing high-quality object detection data, thus improving overall assembly efficiency. The dataset construction involves acquiring images with various devices in different environments to ensure data diversity and representativeness. We implemented multiple rounds of annotation and consistency checking mechanisms to ensure high data quality, and conducted expert reviews. The data is stored in JPG format, organized by image ID for easy invocation and analysis.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
slot_presence boolean Indicates whether a suction cup hook installation slot is present in the image.
slot_position string Describes the general location of the suction cup hook installation slot in the image, such as top left, bottom right, etc.
slot_shape string Defines the shape of the suction cup hook installation slot, such as circular, rectangular, etc.
slot_size string Measures the size of the suction cup hook installation slot to determine suitability for specific hooks.
slot_orientation string Records the orientation of the suction cup hook installation slot, such as vertical, horizontal, etc.
slot_material string Describes the material of the suction cup hook installation slot, such as plastic, metal, etc.

Compliance Statement

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com