👗 AI Fashion Classifier with Pretrained Color Detection

Using CLIP Vision Transformer for Zero-Shot Color Recognition

Fashion Model: Fashion-CLIP (pretrained)
Color Model: OpenAI CLIP ViT-B/32 (pretrained)
Color Categories: 101 colors
Method: Zero-shot learning (no dataset training needed)

✨ Why Pretrained Models?

  1. 🎯 Highly Accurate - Trained on millions of images
  2. ⚡ Fast - No preprocessing needed
  3. 🧠 Smart - Understands context and variations
  4. 🔄 Generalizable - Works on any clothing type
  5. 📊 Reliable - Consistent results

💡 Tips:

  • Clear photos work best
  • Good lighting recommended
  • Single item preferred

🎨 Supported Colors (101 types):

  • Basic: Red, Blue, Green, Yellow, Orange, Purple, Pink, Brown, Black, White, Gray
  • Shades: Dark/Light variations
  • Specific: Navy, Maroon, Teal, Lavender, Beige, etc.

⚡ No Installation Needed: All models are pretrained and ready to use!

📝 Example Test Cases

Item Expected Colors
Gray Shorts Gray, Light Gray, Dark Gray, Charcoal
Denim Jeans Denim Blue, Navy Blue, Dark Blue
Red Saree Red, Crimson, Dark Red
White Shirt White, Off-White, Cream
Black Kurta Black, Dark Gray, Charcoal
Beige Dress Beige, Tan, Light Brown, Cream

🎨 Color Detection Technology

Model: OpenAI CLIP (Contrastive Language-Image Pre-training)

How it works:

  1. Image is processed through Vision Transformer
  2. Compared with 101 color text descriptions
  3. Returns best matching colors with confidence scores
  4. No background removal needed
  5. Context-aware (understands "denim blue" vs "sky blue")

Advantages over traditional methods:

  • ✅ Pretrained on 400M+ image-text pairs
  • ✅ Understands color context (e.g., "denim blue", "burgundy red")
  • ✅ No manual threshold tuning needed
  • ✅ Works on complex patterns and textures
  • ✅ Handles shadows and lighting variations

🚀 Powered by:

  • Fashion-CLIP (patrickjohncyh/fashion-clip)
  • OpenAI CLIP ViT-B/32
  • HuggingFace Transformers
  • Zero-shot learning (no training required)