Learn practical skills, build real-world projects, and advance your career
Created 3 years ago
# Jovian Commit Essentials
# Please retain and execute this cell without modifying the contents for `jovian.commit` to work
!pip install jovian --upgrade -q
import jovian
jovian.utils.colab.set_colab_file_id('1AKaQIohX9UDG24h1p-ncwUM46NBXNUbg')# Jovian Commit Essentials
# Please retain and execute this cell without modifying the contents for `jovian.commit` to work
!pip install jovian --upgrade -q
import jovian
jovian.utils.colab.set_colab_file_id('10bJ4PCoP-Bf25qDP6E_fUx09nD-3KX3J')!pip install jovian --upgrade --quietSign Language Detection - An Image Classification Project
About
The data set is a collection of images of alphabets from the American Sign Language, separated in 29 folders which represent the various classes.
Content
The training data set contains 87,000 images which are 200x200 pixels. There are 29 classes, of which 26 are for the letters A-Z and 3 classes for SPACE, DELETE and NOTHING.
These 3 classes are very helpful in real-time applications, and classification.
The test data set contains a mere 28 images, to encourage the use of real-world test images.
Acknowledgements
- How to use Kaggle Datasets in Google Colab - https://medium.com/analytics-vidhya/how-to-fetch-kaggle-datasets-into-google-colab-ea682569851a
- Reference ipynb notebook - https://colab.research.google.com/drive/1c-U-fCmpcI0TAIds4_9IatzxMkcYnY8d#scrollTo=xfPP3dVf3KUg