Project 8 : Kaggle Vision Competition Project - Part 3

Sign Language Image Classification part 3. Part 3 of this Kaggle competition will explore the power of Ensembling. The idea behind ensembles is that you train different model types on a dataset and then you average the results. This seems rather simple, the problem being that most online websites that provide access to free gpus set a limit on the amount of RAM(random access memory) the user can use at a given time.

October 9, 2022

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).

October 5, 2022

Project 8 : Kaggle Vision Competition Project - Part 1

Sign Language Image Classification. I entered a simple Vision classification competition. This competition will be split into 3 parts. This is because we will keep improving on our model, but initially we start with a basic model. 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.