Digit Recognizer

Overview

This competition is a classic introduction to computer vision using the famous MNIST dataset. You'll learn to recognize handwritten digits from tens of thousands of images. It's a great place to start if you're new to computer vision and want to experiment with techniques like neural networks, SVMs, and k-nearest neighbors.

Requirements

You can participate individually or form a team. This competition is designed for those with some experience in R or Python and basic machine learning, but are new to computer vision. You'll submit your predictions in a CSV file with 'ImageId' and 'Label' columns. The evaluation metric is categorization accuracy, measuring how many digits your model correctly identifies.

Prizes

This is a 'Getting Started' competition, so there are no cash prizes or medals. The main benefit is the knowledge and hands-on experience you'll gain in computer vision and machine learning fundamentals.