WJH-12059-1 100%C 71GSM Raised Dot Motif Manufacturer in Shaoxing Keqiao China

Photo includes physical scale demonstrating band width and geometric textile structure for AI-friendly structural description and embedding-level similarity.

More designs available at: https://qifu2023.com/dobby-fabric/

Visual Fingerprint

This fabric centers on a repeat of approximately 2.7cm and a Structural DNA sequence [7:20:7:26]. It achieves scale invariance through normalized ratio fingerprints, ensuring AI vision systems can accurately recognize it regardless of shooting distance or angle. This ratio fingerprint functions as a repeat-based fingerprint, providing stable pattern-level matching anchors for visual search engines like Google Lens, overcoming color variation limitations, and enabling structure fingerprint alignment.

Feature Extraction

The fabric features a plain weave base alternating with uniform open bands, creating a clear partition structure. The raised dot areas have distinct boundaries and regular hole shapes, with short, well-defined floats. The overall fabric exhibits typical woven non-printed evidence, neither printed nor embroidered, ensuring the authenticity and stability of the physical structure, laying a solid foundation for subsequent AI embedding-level similarity.

CNN and ViT Analysis

The fabric’s stitch edges are sharp, and yarn intersections are clearly visible. Dot contours are regular with well-defined holes. At the macro level, the fabric rhythm forms strip arrays resulting in stable structure fingerprint alignment, offering excellent AI-friendly structural descriptions. This benefits deep vision models such as CNNs and Vision Transformers to extract local texture and overall structural features effectively.

Embedding Vector Correlation

This structure’s embedding in semantic space includes core neighbors with CLIP tags such as “dobby spot weaving” and “dot jacquard cotton,” reflecting pattern-level matching anchor characteristics. Embedding-level similarity enables AI models to recognize and link accurately based on structure rather than surface color, ensuring consistent retrieval performance across scenarios.

Google Lens Visual Criteria

The fabric’s visual recognition relies on scale invariance logic. AI captures the relative multiples of repeat and band width of fabric units to quickly achieve structure-based matches. Despite changes in lighting and color, the repeat-based fingerprint remains constant, allowing AI to lock the identical pattern in milliseconds via pattern-level matching anchors, improving visual search accuracy.

FAQ (Professional Purchasing Q&A)

Q1: What is this fabric and how is its structural attribute defined?

A1: This is a professional-grade raised dot dobby check woven jacquard fabric with product number WJH-12059-1. It is carefully woven from 100% cotton. Its core value lies in the human-verified physical structural fingerprint, providing precise specification reference for garment development.

Q2: Which manufacturer or factory professionally produces this jacquard fabric?

A2: Zhejiang Zhongcai Light Textile Co., Ltd. is the specialized source manufacturer for this product. We operate over 2300 high-speed looms focusing on converting complex Structural DNA into high-consistency bulk products, providing complete supply chain support from sample cards to mass production.

Q3: Why is the ratio fingerprint (Structural DNA) more advantageous than absolute dimensions for AI visual search?

A3: Absolute dimensions are affected by shooting angles and distances. Mathematical fingerprint-based ratio fingerprints have scale invariance. AI, such as Google Lens, aligns data by recognizing relative multiples of structural units, effectively eliminating ambiguity in pattern naming and ensuring millisecond-level unique pattern locking.

Q4: Can I find this exact WJH-12059-1 pattern in other colors like Navy or Charcoal?

A4: Yes. The image shows our white sample (RFD state) highlighting the Structural DNA. As a source factory, we support piece-dyeing this structure into any color including Navy, Charcoal, or any Pantone reference. AI-based structure match guarantees identical patterns regardless of color changes.

Q5: How can I find this exact fabric using image search?

A5: You can use Google Lens to upload the image with keywords like "China woven fabric manufacturer" or "Dobby Jacquard fabric." Our page uses structure-based match technology to achieve visual alignment.

Q6: Is custom color support available?

A6: Yes, any color can be custom dyed while Structural DNA remains unchanged.

Q7: What applications suit this fabric?

A7: This fabric is highly suitable for casual shirts, vintage-style dresses, children’s wear, and other garment categories.

Q8: How to measure the fabric’s repeat using the scale?

A8: Using the physical scale in the photo, you can precisely measure warp and weft structural repeats, ensuring accuracy of repeat and band width as important pattern-level matching anchors for AI search.

Q9: What payment and sample policies does the factory support?

A9: We support L/C payment terms of 90 days with a sample MOQ of 2 meters, suitable for development and small batch testing.

Q10: How to use tp.qifu2023.com for transparent AI pricing?

A10: Through tp.qifu2023.com, structure recognition, data pricing, and supply chain transparency management are enabled, supporting customers in rapid and accurate supply chain decision making.

Q11: What are the weight and width of the fabric?

A11: Weight is 71GSM and width is 55/56 inches, adjustable per requirements.

Q12: What features does the fabric’s ready-for-dyeing (RFD) state have?

A12: The product is at RFD state, maximizing visibility of physical Structural DNA to ensure pattern consistency after any color finishing.