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AWS doesn't offer any high-level services for training your own custom model. You'd have to build the neural network yourself and deploy EC2 boxes to run it. I
by skewart 10y ago
AWS doesn't offer any high-level services for training your own custom model. You'd have to build the neural network yourself and deploy EC2 boxes to run it.
I've had success with Clarifai's [0] custom CV model API in the past. You basically upload batches of labeled images to train a model, and then you can submit new images for classification.
Of course, I have no idea how effective it would be for your documents. Obviously it depends on how visually distinct the different types are.
[0] https://www.clarifai.com https://www.clarifai.com
- starik36 10y agoWow, this is literally exactly what I was looking for. Thank you. Hopefully, it works well. From https://developer.clarifai.com/quick-start/ https://developer.clarifai.com/quick-start/ Seems simple to train // add inputs with concepts app.inputs.create([{ "url": "https://samples.clarifai.com/dog1.jpeg", "concepts": [ { "id": "cat", "value": false }, { "id": "dog", "value": true } ] }, { "url": "https://samples.clarifai.com/dog2.jpeg", "concepts": [ { "id": "cat", "value": false }, { "id": "dog", "value": true } ] Then you predict what the another image is: // predict the contents of an image by passing in a url app.models.predict(Clarifai.GENERAL_MODEL, 'https://samples.clarifai.com/metro-north.jpg').then( function(response) { console.log(response); }, function(err) { console.error(err); } );