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This competition takes on the goal to improve upon Yachay.ai's infrastructure to train a deep learning model to predicts coordinates (latitude, longitude) of individual texts.
The first suggested methodology on training the model is to look into the annotated data set on texts posted from 123 populated regions around the planet.
No hard MSE or EER requirements, we're looking for innovative ideas for the infrastructure development.
The dataset provided is an:
annotated corpus of 500k texts, as well as the respective geocoordinates
Is there any user guide available explaining how to implement and use the model.. something like this click here,( i have attached the example of user-guide for knn from scikit-learn.) @ingakaspar
Challenge 1
This competition takes on the goal to improve upon Yachay.ai's infrastructure to train a deep learning model to predicts coordinates (latitude, longitude) of individual texts.
The first suggested methodology on training the model is to look into the annotated data set on texts posted from 123 populated regions around the planet.
No hard MSE or EER requirements, we're looking for innovative ideas for the infrastructure development.
The dataset provided is an:
The data set is here
Deliverable
We will evaluate the model using the test dataset that is not shared here.
Additional notes
Contact us at [email protected] for any questions or additional requests.
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