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Zipper Defect Image Dataset
Synthetic Images & Vision Datasets
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£6,000
About
Description:
This dataset focuses on various types of zipper defects, emphasizing detailed issues caused during usage, manufacturing, and sewing processes. Defect types include missing teeth, misalignment, poor bite, fabric tape damage, thread breakage, slider damage, and foreign object obstruction.
It is suitable for localized defect detection and quality inspection model training for fabric-based products.
This dataset contains over 20,000 high-quality annotated images. The estimated price is approximately €8,000, and can be adjusted based on delivery format, licensing scope, and customization requirements.
Keywords (Phrases): fabric zipper defect detection
Keywords (Underscored): fabric_zipper_defect_detection
Application Scenarios:
Zipper area defect recognition model training
Automated visual inspection on production lines
Resolution: 1024×1024
Unique Samples / Scenes:
Covers various fabric materials (cotton, nylon, canvas, denim, composite textiles) and multiple zipper installation styles (concealed, exposed, waterproof). Shooting angles include top-down close-ups, oblique near shots, and macro details.
Annotation Type:
- Multi-class defect category labels
- Bounding boxes for defect regions
- Optional fine-grained segmentation mask annotations
Sample Images:
Additional Notes & Services
- Usage Policy: Please adhere to all ethical standards and privacy regulations. Preprocessing may be required.
- Actively Maintained: This dataset is continuously updated. Contact us for the latest version.
- Full Customization Available: We can tailor image formats, annotations, and other specs to your project needs.
- Flexible Delivery: We offer split packages and delivery via private server or cloud storage.
- Free Sample Package: Available for qualified buyers to verify data quality.
- Contact Us: For inquiries, customization, or samples, email us at contact4data-project@join-intelligence.com
- Explore All Datasets: Visit our Notion Collection
- Official Website:https://join-intelligence.com/
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