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The task_categories "text-recognition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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The task_categories "scene-understanding" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Korean Warning Labels Dataset
This dataset contains high-resolution images of Korean warning and safety labels, including product hazard signs, electrical warnings, chemical safety labels, and public safety notices. It supports AI research in OCR, text detection, and safety compliance analysis.
Contact
For queries or collaborations related to this dataset, contact:
Supported Tasks
Task Categories:
- Image Classification
- Text Recognition (OCR)
- Scene Understanding
Supported Tasks:
- Korean text extraction from warning labels and safety signs
- Classification of warning types (hazard, electrical, chemical, public)
- Detection of iconography and visual symbols associated with warnings
- Multilingual OCR for labels including Korean-English text
- AI modeling for automated safety compliance and hazard recognition
Languages
- Primary Language: Korean
- Secondary Presence: English (on bilingual labels)
Dataset Creation
Curation Rationale
This dataset was curated to facilitate AI systems that can automatically interpret safety and warning information in Korean contexts. It enables research in OCR, computer vision, and automated safety compliance applications.
Source Data
- Contributors: Field collection from products, public signage, industrial environments, and safety documentation
- Collection Process: Images were captured of public warning signs, product labels, and instructional materials. Personal identifiers were removed and sensitive information excluded.
Other Known Limitations
- Bias: Urban and industrial labels are more represented than rural or informal warning signs
- Visual Variability: Differences in lighting, angles, and label wear may affect OCR accuracy
- Content Scope: Focused on textual and symbolic warnings; contextual safety information may be limited
Intended Uses
✅ Direct Use
- Training OCR and visual recognition models for safety labels
- Automated hazard detection and compliance monitoring
- Research in human-machine interaction and safety signage understanding
- Multimodal AI applications combining text and symbols for safety
❌ Out-of-Scope Use
- Tracking or surveillance of individuals via safety signage
- Commercial reuse of proprietary safety designs without proper permissions
- Misuse of dataset for non-safety-related commercial purposes
License
CC BY 4.0
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