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[How To] Prepare and Upload Coco Labels

[How To] Prepare and Upload Coco Labels

Prepare and Upload Coco Labels to DATAGYM   In one of our latest Blog posts we introduced how to use our "Python API"  to import annotated image data directly into your DATAGYM Projects. The feature enables users to inspect and correct the results of their...

[Feature introduction] Review Labels

[Feature introduction] Review Labels

New Feature: Review Labels   Sophisticated machine learning projects can quickly grow in size, encompassing thousands of images to annotate and a large number of people working on a single project simultaneously. As a project manager, it is often hard to keep...

[How To] Upload Label Predictions with Python

[How To] Upload Label Predictions with Python

Upload Label Predictions with our Python API   In our latest Blog post we introduced the "Import Label" feature which allows DataGym users to import their annotated image data directly into their DataGym Projects. The feature enables users to inspect and evaluate...

[Feature introduction] Upload Label Predictions

[Feature introduction] Upload Label Predictions

New Feature: Upload Label Predictions   When talking about machine learning projects it is oftentimes hard to convey the iterative approach that is necessary to achieve good models. The project usually starts by assessing what data is available to you. This data,...

Together against Coronavirus (COVID-19)!

Together against Coronavirus (COVID-19)!

MDs, researchers, medical labs, clinics, scientists, data engineers – if you need an image annotation tool to fight #coronavirus and label e.g. x-ray images, then we offer our platform www.datagym.ai for FREE. Please send an email to support@datagym.ai and we’ll be...

The No. 1 Productivity Killer in Machine Learning Projects

The No. 1 Productivity Killer in Machine Learning Projects

The 80/20 Data Science Dilemma Most of you that are familiar with machine learning may have heard of the 80/20 dilemma: It roughly states, that data scientists and machine learning experts spend about 80 % of their time for generating, preparing and labeling data and...