Hey friends!
I have always considered working on open-source projects to be closely related to watering my plants, to watch them burgeon brings pride and happiness to my heart. This is my first PR for hub auto and I can't wait for the world to use it.
The past 2 weeks have been all about:
Fine tuning the API code
Writing quality tests
Solving bugs
Providing well-defined docstrings
My PR has been reviewed and is about to get merged real soon, I am VERY excited for people to try out Hub auto and use it as the primary method of ingestion for image classification datasets.
Currently, I update my code with the suggestions I receive from the community in the form of PR reviews and would love to summarise my work in the blog here!
I believe this is going to open doors to a lot of new Hub use cases and make onboarding of new users to Hub a breeze 🏖
For anyone interested, my PR is available here!
I have always considered working on open-source projects to be closely related to watering my plants, to watch them burgeon brings pride and happiness to my heart. This is my first PR for hub auto and I can't wait for the world to use it.
The past 2 weeks have been all about:
My PR has been reviewed and is about to get merged real soon, I am VERY excited for people to try out Hub auto and use it as the primary method of ingestion for image classification datasets.
Currently, I update my code with the suggestions I receive from the community in the form of PR reviews and would love to summarise my work in the blog here!
This PR provides 2 APIs:
Ingest()
The ingest API provides a one line solution to get your locally stored Image dataset on Hub.
Ingest_kaggle()
The ingest API provides a one line solution to get your Kaggle dataset to Hub.
I believe this is going to open doors to a lot of new Hub use cases and make onboarding of new users to Hub a breeze 🏖
For anyone interested, my PR is available here!