Could not find any information on Google T & C on whether Google Vision is allowed to use data it has to train it's API. Anyone knows?
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I have a large dataset with lots of news articles, stored in Google Cloud Storage. I want to train a sentiment classifier (positive, negative, neutral). Does Google has a data labeling service that I can use to create the training data? If yes, where can I find the API documentation?
It looks like Google Cloud AutoML Vision supports human labeling for image classification here: https://cloud.google.com/vision/automl/docs/human-labeling. However, I didn't find the one for text.
Google Cloud has an alpha version of Data Labeling API, which supports human annotation on text classification, sentiment analysis and other use cases (image, video etc.). You will need to email cloudml-data-customer#google.com to get whitelisted so that you can access their API and documentation.
IBM Watson has a capability where you can train the classifiers on Watson using your images but I am unable to find a similar capability on Google Cloud Vision API? What I want is that I upload 10-15 classes of images and on the bases of upload images classify any images loaded after that. IBM Bluemix (Watson) has this capability but their pricing is significantly higher than Google. I am open to other services as well, if prices ares below Google's
As far as I know Google Cloud Vision API cannot be trained with your custom data. However, there is a service called vize.ai, where you can define your custom classes and upload the images, the training is for free and the prices for API usage are below Google's and IBM's.
Disclaimer: I'm vize.it co-founder
Edit: Link changed
You can train your own models using Cloud AutoML Vision. There are 2 different ways to do this:
Cloud-hosted models.
Edge exportable models.
With some work you can train a model for free using TensorFlow - see the model training section.
However, they have released an already trained model, so if you're lucky and what you want to classify already overlaps with their model, then no training is needed.
Azure has started this now, google for "azure custom vision" this is still a preview service but with good accuracy at least for our workload which is preschool children images.
I read the official documentation for the api, but I wanted to make sure that it's possible for it to perform object recognition in images. More specifically, my idea is to provide a lot of images of parking lots with the number of parking spots currently available. I wanna get a model to predict how many spots are available given an image of the parking lot.
Does anybody have previous experience with using the API for a similar goal?
No i don't think google prediction api will works for image recognition.
because prediction api knows only numeric and string.
for image recognition Google Vision Api is the best , i think it cant able to recognize humans or persons but it is recognize place like eiffel tower and all.
even it can able to read the image written strings.
I want to make an iOS app to count interrogative sentences. I will look for WH questions and also "will I, am I?" format questions.
I am not very get in the speech or audio technology world, but I did Google and found that there are few speech recognition SDKs. But still no idea how can I detect and graph intonation. Are there any SDKs that support intonation or emotional speech recognition?
AFAIK there is no cloud-based Speech Recognition SDK which also gives you intonation. You could search for pitch-tracking solutions and derive intonation from the pitch contour. An opensource one is available in the librosa package in Python:
https://librosa.org/librosa/generated/librosa.core.piptrack.html
If you can't embed Python in your application, there is always the option of serving it in a REST API with Flask or fastapi.
I need enough accuracy in my app but Google Places seems to be poorly accurate filtering by category. So I'm considering migrating to Factual API. Do you guys have used it? What do you think about its accuracy?
In the other hand, I NEED to know the distance to a place and the estimated travel time. I'm getting this info with Google Distance Matrix API, but I don't know if Factual has this functionality or not.
Thanks in advance.
I used Factual's api for one app and the result is worse than Google Place's, at least for the super-market/grocery category
If the Factual API allows you to display the data on a Google Map, you can use the Factual data with the Distance Matrix.
Factual provides distance in query results(in meters from search center). It has a much better category tree system. Factual allows "IncludeAny(Category ids)" (Google only has single level types and does not allow multiple types search). What I do is use Factual for initial search and Google Places for detail on a particular place. Google places has photo[s], reviews(3)and openNow(boolean).
The quality of data is slightly better in Google. (Both need work)