Project 8 : Kaggle Vision Competition Project - Part 2

Sign Language Image Classification part 2.

Data Augmentation entails change of shape, color, and orientation to make our models better at generalization. I will be also using the ConvNeXt model. this model is more accurate than the resnet model we used in part 1.

Introduction: Business Problem

Description: The sign language database of hand gestures represents a multi-class problem with 20 classes of letters and numbers (excluding some classes which require motion).

Evaluation: The evaluation metric for this competition is accuracy.

Methodology

The project will be executed by completing the following tasks:

  1. Notebook setup
  2. Train function
  3. New model: ConvNext
  4. Preprocessing experiments
  • Crop
  • Squish
  • Padding
  1. Test time Augmentation(TTA)
  2. Scaling up
  3. Submit to kaggle

Link to Github Repository

Link to Blog post