Image Recognition for Outfits – What If We Could Auto-Detect Clothing Items?

[ivan-webrune]

Imagine this:
✅ You upload a picture of an outfit.
✅ AI detects and extracts each piece—shoes, pants, shirt, accessories.
✅ The app categorizes them automatically into your wardrobe.

This could make adding clothes way faster, reduce manual input, and even help with outfit recommendations. 🚀

Also the system could analyze your taste in clothing/fashion/brands and then creates a catalog of suggestions for you depending on the current trend. This way you can mix and match clothing to your liking.

What do you all think? Would this be useful? Would you use it?

[suggestied]

Hey Ivan, great idea! 🚀 Image recognition for outfits could really improve how users manage their wardrobe, making it much easier to add new items. Let’s break this down and consider the best approach, especially while keeping self-hosting simple.

🔍 How Would It Work?
1️⃣ User uploads a photo of an outfit.
2️⃣ AI detects & categorizes clothing items (shoes, pants, shirt, accessories).
3️⃣ OpenWardrobe matches them with existing wardrobe items or adds new ones automatically.

This would remove manual input, making the wardrobe setup much faster!

⚙️ Technical Considerations
1️⃣ On-Device AI (Best for Privacy & Self-Hosting)
Using Google ML Kit or TensorFlow Lite for local image processing (no internet needed).
Works fast but may struggle with detailed clothing categorization.
Best for users who want full self-hosting without cloud dependency.

2️⃣ Self-Hosted AI Model (More Accuracy, Still Private)
Running OpenAI CLIP, YOLOv8, or TensorFlow in a lightweight Docker container.
More powerful, but requires some setup for self-hosted users.
Would work great for those running OpenWardrobe on a home server.

3️⃣ Cloud-Based AI (Optional, For Those Who Prefer Convenience)
External services like Google Cloud Vision or AWS Rekognition for high-accuracy detection.
Downside: Needs API keys & depends on cloud services.
We could keep this optional for users who don’t mind cloud AI.

🛠 Next Steps & Questions

• Which option makes the most sense for OpenWardrobe users?
• Would users be okay with confirming detected items before adding them to their wardrobe?
• Can we make the self-hosted model easy to set up for non-technical users?

I’d love to hear what others think! If anyone has experience with ML image processing in Flutter or self-hosted AI, let’s brainstorm how to implement this properly. 🔥

[ivan-webrune]

Yeah, I really like where this is going! I think on-device AI makes the most sense to start with—keeps it private and lightweight without needing cloud stuff. Even if it’s not perfect at first, just having basic detection (like knowing which part of the image is shoes vs. pants) would already be super helpful.

That said, I think it would be really useful to let users adjust the AI’s selections. Like, imagine the AI gets the pants section slightly wrong, or it doesn’t recognize a jacket over a shirt—being able to drag and resize selection boxes before confirming would make it way more reliable.

But what’s even cooler—if we’re already detecting clothing sections, we could use the same AI to auto-categorize them!
✅ AI suggests the clothing sections.
✅ User can adjust the boxes if needed.
✅ AI automatically assigns categories (e.g., "Sneakers," "Jeans," "Hoodie") based on patterns, colors, or past detections.
✅ Once it looks good, they confirm & save.

That way, the process is still super fast, but users have full control if something needs tweaking. Also, if the AI learns from previous corrections, it could get smarter over time at recognizing different styles.

Curious what others think—would you rather have an adjustment step, or should we just refine the AI and make it as automatic as possible?