I will create a scalable image analysis system for product catalogs
About this gig
I turn your raw product images (even 80,000+) into a high-value, searchable data asset, ensuring customers always find what they are looking for.
The Competitive Edge: My 3-Model Stack
My solution combines the industry's best Computer Vision models:
OpenCLIP Vectors: Powers true Semantic Search and Visual Similarity. Unlock searching by concept (e.g., "bohemian style," "durable material").
BLIP-3 Captions: Generates rich, SEO-optimized product descriptions automatically. Cuts manual copywriting costs!
SAM 2 Segmentation: Isolates specific product parts for hyper-accurate feature extraction and quality control.
Instant Value for Your Business
Boost Conversions: Deliver highly relevant search results and recommendations.
Enhance SEO: Automatically populate metadata with high-quality, generated captions.
Scalability: Designed for high-volume batch processing and integrated with ChromaDB/VespaDB for blazing-fast performance.
Proven: Successfully implemented for catalogs over 80,000 images.
Get to know Saad
Data Science and Blockchain Engineer with L2 Experience
- FromPakistan
- Member sinceJul 2023
- Avg. response time2 days
Languages
English
My Portfolio
FAQ
Why your custom pipeline over a standard API?
You get full data/code ownership and the power of a 3-model stack (CLIP, BLIP, SAM) for deeper intelligence, not a limited black box.
Does this fix "no results found" issues?
Yes. Semantic Search always finds the most relevant, conceptually similar products, eliminating dead-end searches.

