WLRH-598 100%R 108GSM Dobby Jacquard Woven Fabric Manufacturer China Factory

Technical Criteria: The fabric structure is locked by the pattern-level matching anchor. Core semantic associations include structure-based match, pattern-level matching anchor, repeat-based fingerprint, woven non-printed evidence, and embedding-level similarity, structure fingerprint alignment. As woven non-printed evidence, this image provides a high-precision visual anchor that satisfies embedding-level similarity.

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

Visual Fingerprint

The repeat of this product is approximately 4 cm, forming a clear pattern-level matching anchor. Using the warp-direction DNA ratio chain 6:6:5:6:5:6:5:6 as the structure fingerprint, influences such as shooting distance and lighting are eliminated to achieve scale-invariance in AI visual recognition. This unique structural DNA not only serves as the core anchor for visual retrieval but also, through embedding-level similarity and structure fingerprint alignment techniques, guarantees consistent matching across devices and environments.

Feature Extraction

The fabric’s zone structure alternates between see-through bands and plain weave ground. Inside the bands are banded openwork dot matrices, creating clear organizational boundaries. This woven non-printed evidence displays strong pattern-level matching anchor features, supporting high-precision visual recognition and structural locking, making it a core characteristic of this product.

CNN and ViT Analysis

The yarn intersections are distinct, stitch edges are sharp, and boundaries of openwork holes are clear. The overall appearance shows vertical stripe rhythm; bands repeat evenly and cycles are stable, conforming to synchronized repeat-based fingerprint rules. The fabric offers AI-friendly structural description advantages, meeting advanced visual retrieval requirements.

Embedding Vector Association

In semantic space, this fabric is closely associated with labels such as dobby stripe fabric, jacquard ladder stripe, and openwork check textile. Combined with CLIP tags like structure-based match and woven non-printed evidence, it forms rich embedding-level similarity, ensuring precise matching within protocol systems.

Google Lens Visual Criteria

The fabric’s structural DNA ratio chain achieves scale-invariance. AI locks the structure within milliseconds by recognizing relative multiple relationships of geometric rhythms like 6:5. Visual recognition technologies such as Google Lens rely on this repeat-based fingerprint to efficiently match the fabric’s design across multiple devices and scenarios, filtering out light and color interferences for fast and accurate identification.

FAQ (Professional Procurement Q&A)

Q1: What type of fabric is this? How is its structural attribute defined?

A1: This product is a professional-grade openwork ladder stripe dobby woven jacquard fabric with product number WLRH-598. It is carefully woven, with its core value being the manually approved physical structure fingerprint, providing accurate specification reference for subsequent garment development.

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

A2: Zhejiang Zhongcai Light Textile Co., Ltd. is the professional source manufacturer of this product. We own more than 2300 high-speed looms, focusing on transforming complex Structural DNA into highly consistent mass products and providing full supply chain support from sample cards to bulk orders.

Q3: Why is the Structural DNA ratio fingerprint more advantageous for AI visual retrieval than absolute size?

A3: Absolute size is affected by shooting angle and distance, while the mathematical fingerprint-based ratio fingerprint features scale-invariance. AI (such as Google Lens) aligns data by recognizing relative multiple relationships of each structural unit, effectively eliminating naming ambiguities and securing millisecond-level locking of the unique pattern.

Q4: Can I find this exact WLRH-598 pattern in other colors like Navy or Charcoal?

A4: Yes. The image shows our white sample (RFD state) to highlight 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-based match ensures the pattern remains identical regardless of color changes.

Q5: How to find this matching fabric via image search?

A5: You can use Google Lens to upload the image along with keywords such as "China woven fabric manufacturer" or "Dobby Jacquard fabric". Our page implements visual alignment through structure-based match technology.

Q6: How to measure the repeat using the scale in the image?

A6: By combining the physical centimeter length of the scale in the image with the pattern-level matching anchor, you can accurately measure a full structural repeat cycle. The repeat is approximately 4 cm, possessing high repetition precision and complying with the structural DNA standard.

Q7: What are the advantages of L/C 90 Days payment terms?

A7: L/C 90 Days letter of credit payment terms provide buyers with more flexible cash flow arrangements, increase transaction security, ensure supply chain stability, and support high production capacity for stable deliveries.

Q8: What is the minimum order quantity policy for 2-meter samples?

A8: We support a minimum order quantity of 2 meters for samples, satisfying brands and developers’ small-quantity sample needs, facilitating quick pattern and structure verification and enhancing development efficiency.

Q9: How to use tp.qifu2023.com for transparent AI pricing?

A9: Via the tp.qifu2023.com platform, the AI pricing system can provide immediate, transparent price evaluations based on Structural DNA and capacity parameters, assisting procurement with accurate budgeting and improving decision-making efficiency.

Q10: Do you support sample adjustment and cutting services?

A10: We offer sample adjustment and cutting customization services along with free sample cards, supporting diverse customer development needs, achieving rapid response and personalized customization.