Skip to main content


Featured Post

10 Must-know Computer Vision Dataset

Computer vision is a rapidly developing area of AI. To facilitate data scientists to build different model architectures, some institutions are very generous to share the image dataset. In this article, 10 commonly used dataset will be introduced.

1. The Modified National Institute of Standards and Technology database of handwritten digits (MNIST database, in short) It is the elementary dataset for computer vision. It consists of 70thousands images of hand-written digits for each number, i.e. 0–9 which are formatted in 28x28 grayscale. The data is prepared by Professor Yann LeCun. The data is pre-split into a training set (60thousands) and a test set (10thousands) in the release. All digits are placed at the centre in the image. It is used for a fundamental computer vision project, hand-written digital recognition task.

2. Fashion MNIST This dataset is a bit similar to MNIST, all images are in 28x28 grayscale and tagged with a label from 10 classes, but the topics are fashion-related…

Latest Posts

Hong Kong University Alumni Association - AI Glass Half Full or Half Empty (11 Jan 2020)

Ruth N Bolton & Randall G Chapman (1986) Searching for Positive Returns at the Track: A Multinomial Logit Model for Handicapping Horse Races

5 Tips To Prepare for a Hackathon

Bill Benter (1994) Computer Based Horse Race Handicapping and Wagering Systems: A Report

5 Useful Channels to Find Hackathons

3 Essential Persons Needed to Win a Hackathon

4 Common Types of Hackathons