Skip to content

Latest commit

 

History

History
7 lines (6 loc) · 454 Bytes

README.md

File metadata and controls

7 lines (6 loc) · 454 Bytes

classify_ASL_letter

Import ASL image data, classify letters (A-Z).

Offshoot of a DataCamp project to use alternative larger dataset (downloaded from Kaggle) and include entire alphabet.

While the original DC project model classifies letters within A, B, or C to 95% accuracy, this extended model classifies letters within A-Z to 89% accuracy.

Data downloaded from Kaggle, stored in Github.
Notebook written in/for Colab.