Drug Injection Dataset

#Object Detection #Image Segmentation #Medical Image Analysis #Drug Injection Monitoring #Clinical Research
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-11

AI Analysis & Value Prop

In the current medical industry, the safety and effectiveness of drug injections face many challenges, especially for critically ill patients and special cases where accurate injection location and dosage are crucial. However, existing solutions often lack sufficient precision and real-time feedback, leading to medical accidents. This dataset aims to assist researchers and clinicians in developing more intelligent injection assistance systems by providing well-annotated drug injection images. Data collection uses professional medical imaging equipment in real clinical environments to ensure the authenticity and reliability of the data. In terms of quality control, multiple rounds of annotation and expert review are employed to ensure the accuracy and consistency of data annotations. The data storage format is JPG/JSON, and image files are organized according to certain rules for easy subsequent processing and analysis.

Dataset Insights

Sample Examples

bb25188b**.jpg|1280*1706|234.12 KB

1f212ad3**.jpg|1280*1706|170.44 KB

4be364c0**.jpg|1280*1529|189.05 KB

38e14cbb**.jpg|1280*1920|216.77 KB

24e33331**.jpg|1280*1578|125.38 KB

Technical Specifications

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

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/74a6323138ec5a73acfa73cc0b715db9},
  urldate={},
  keywords={},
  version={}
}

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