[redlabs4000]

@liuliu, can libccv be used to make your own classifiers, like in Caffe, you can use a pre existing model and fine tune it to a new dataset? Can I use libccv to train a classifier of clouds vs birds, or can it only be used for the 1000 standard category recognition from ImageNet?

[liuliu]

It includes a training program (./bin/image-net.c), however, it requires a bit of work to get it started (you need to initialize a new convnet with the pre-trained parameters, and then fine-tuning the whole network). It is on my todo list to make a more friendly training program that for these simple tasks, you should be able to do with CPU easily.

[possibilistic]

I remember when you first announced this project some years back. You've done such an incredible job! :)

Since you mention distribution of pre-trained models by participants in ImageNet 2014, I have to wonder if there would be a market for distributing specialized classifiers like open source software. Eg, an npm-like website you might be able to find a "dog breed classifier", "car make/model classifier", etc. If so, what would it take to make it happen?

[redlabs4000]

That's a really cool idea, I think that could really help the community and add involvement to the library too

[redlabs4000]

Cool, I'd love to help out with adding that tutorial to libccv, do you and the libccv team use a communication tool like trello or skype to communicate? Or email?

[liuliu]

Great! Feel free to reach me at [e-mail]!