jrbaldwin

I know of three people who use iPhone 3G as their alternate phone when the other battery dies and/or international phone when traveling.

The phones don't just go away, they're get passed down.

We usually "region propose" and crop to a certain area (in this case the face area, usually at 256x256) then transform to align eye areas before passing to training. This is to standardize the data beforehand. I'm not sure if this lib does region proposal but you can easily write a pre-processor with openCV face plugins to identify face regions (if any, maybe your training image is a landscape not a face!) for cropping.

We hope so, we'll reapply for Winter. Good luck to you!

Thank you for applying for the Y Combinator Fellowship. We’re sorry to say that your startup was not selected for an interview. We think your startup would be more appropriate for YC’s Winter 2016 batch, and we encourage you to apply.

The startups we have invited to YC Fellowship interviews are primarily founders in the idea or prototype stage, and most are first-time founders who haven’t previously raised funding. We're asking almost all companies that are further along or with more experienced founders to apply to YC winter batch.

Applications open the week of August 24th at apply.ycombinator.com. We sincerely hope you will apply!

Thanks! :) If you have any more questions about our platform you can email: [email protected]

We're starting with clothes and accessories – most people still prefer shopping offline for clothing.

We use image recognition and scrape items from social media, partner databases and crowdsourcing.

Also testing with Beta users to snap what they're wearing and let them tag semantically ("night out","office","summer wear", "goth").