Visual-Gallery / MODEL_CARD.md
WebAI Deployer
Update Camouflage App (2026-01-10)
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metadata
language:
  - en
license: mit
tags:
  - computer-vision
  - clip
  - deduplication

AI Visual Gallery

This project implements an image deduplication pipeline using visual features extracted by CLIP (Contrastive Language-Image Pre-training).

Methodology

  1. Feature Extraction: Images are passed through a Vision Transformer (ViT).
  2. Indexing: 512-dim feature vectors are cached.
  3. Comparison: Cosine similarity is used to detect duplicates.

Hardware Requirements

  • RAM: 2GB+ (for caching feature maps)