X-Ray Image Contraband Detection Dataset at Security Checkpoints
#Image recognition #object detection #deep learning applications #Airport security #railway station security #public places security monitoring
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
This dataset boasts extremely high data quality, with annotation accuracy exceeding 98%, ensuring the consistency and completeness of labeled data. Technically, it introduces advanced multi-view annotation and data augmentation techniques for the first time, enhancing the model's generalization ability on small samples. In practical applications, models trained on this dataset can effectively reduce miss and false detection rates, improving security check efficiency. Moreover, compared to other similar datasets, this dataset has significant advantages in terms of data variety and complexity, covering a wider range of contraband types and security check scenarios. Additionally, the dataset contains a large number of samples of rare items, making its data characteristics unique and irreplaceable. Due to its reasonable structured data design, it has high scalability and versatility, making it easy to integrate and apply in future systems.
Dataset Insights
Sample Examples
121986d6**.jpg|885*1193|207.87 KB
d830ab35**.jpg|1080*1368|269.33 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of objects detected in the image. |
| prohibited_item_type | string | The type of prohibited item detected in the image. |
| object_location | string | The location coordinates of objects in the image. |
| detection_confidence | float | The confidence score of the detected prohibited items. |
| image_quality | string | The quality level of the image (e.g., clear, blurry, etc.). |
| image_color_depth | int | The color depth value of the image. |
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 |
Frequently Asked Questions
- What is the Security Checkpoint X-ray Image Contraband Detection Dataset?
- The Security Checkpoint X-ray Image Contraband Detection Dataset is used to enhance the accuracy of identifying contraband in luggage security check images, aiming to improve the efficiency of security detection.
- What is the application domain of the Security Checkpoint X-ray Image Contraband Detection Dataset?
- This dataset is applied in the security protection industry, especially in scenarios like airports where luggage screening is required, for detecting and recognizing contraband.
- What are the benefits of using the Security Checkpoint X-ray Image Contraband Detection Dataset?
- Using this dataset can improve the accuracy and robustness of contraband detection models, thereby enhancing the overall efficiency and security of security checks.
- What are the main features of the Security Checkpoint X-ray Image Contraband Detection Dataset?
- The dataset includes high-quality X-ray images, focuses on detecting various types of contraband, and supports diverse algorithm development and evaluation.
- How can the Security Checkpoint X-ray Image Contraband Detection Dataset be used to develop new models?
- Researchers can use this dataset for model training and testing, evaluate model performance under different scenarios, and adjust algorithms to improve detection accuracy.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={X-Ray Image Contraband Detection Dataset at Security Checkpoints},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/0a2e222a443d6a1fa2891a72310cb878},
urldate={2026-02-04},
keywords={X-ray image dataset, security contraband detection, image recognition dataset},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder