13 karma · joined June 2, 2013
1. Collecting & labeling images 2. Training your model and evaluating the results 3. Playing with your model and seeing how well its performing
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Here's a few tips for now: 1. You can view by "Test Images" on the Train tab (view options). So you can see how well your model is performing on your test images (a random 20% split from all of your images). 2. You can test your model on the Play tab, by dragging in new images your model has not seen, to see how well it is performing. You can also tell Lobe if it was correct or not and iteratively improve your model.
For Image Classification, that is a good approach is predicting if an image has both a cat and dog is important.