Front Lamp Detection Dataset
#Object Detection #Image Classification #Assembly Line Automation #Accident Vehicle Quick Inspection
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the industrial sector, the need for automated quality control and rapid inspection of accident vehicles is increasing due to the growing complexity of production lines and safety regulations. Current solutions often struggle with accuracy and speed, leading to inefficiencies and potential safety hazards. This dataset aims to address these challenges by providing high-quality annotated images of front lamps to enhance detection algorithms. Data is collected using high-resolution cameras in controlled environments, ensuring a consistent quality. Multiple rounds of annotation and expert reviews are implemented to maintain high standards of labeling accuracy. The dataset is stored in JPG format, organized by image categories, and supported by a comprehensive metadata structure.
Dataset Insights
Sample Examples
d26cdf42**.jpg|1280*1434|142.82 KB
ab4d4697**.jpg|1280*1434|163.39 KB
a4c8a620**.png|1280*1434|1.02 MB
fcfd2cc5**.jpg|1280*1434|138.22 KB
46b61577**.jpg|1280*1434|161.95 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| headlight_position | string | The position or area information of the headlights in the image. |
| headlight_count | int | The number of headlights detected in the image. |
| glare_presence | boolean | Whether there is glare from the headlights present in the image. |
| headlight_type | string | The type of headlights, such as halogen lamps, LED lights, 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 |
Frequently Asked Questions
- What types of images does this dataset contain?
- The headlight detection dataset mainly contains images related to car headlights.
- What are the application scenarios of the headlight detection dataset?
- This dataset can be used for automatic headlight detection and inspection of accident vehicles.
- How can the model's performance be improved in the headlight detection task?
- Performance can be improved by using more high-quality training data and refining the model architecture.
- Which machine learning algorithms are suitable for the headlight detection dataset?
- The dataset is suitable for training and testing object detection algorithms like YOLO, Faster R-CNN, etc.
- What should be noted when using the headlight detection dataset?
- Attention should be paid to the accuracy of data labeling to ensure the effectiveness of model training.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Front Lamp Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/e9fbc474764c36e6bbd7a29898611fbd?dataset_scene_id=2},
urldate={2025-08-28},
keywords={front lamp detection,industrial dataset,image dataset,quality control,accident inspection},
version={1.0}
}Using this in research? Please cite us.
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