In this competition, you will build and optimize algorithms based on a large-scale dataset. This dataset features the raw sensor camera inputs as perceived by a fleet of multiple, high-end, autonomous vehicles in a restricted geographic area.
In this challenge, you will build a model to classify cloud organization patterns from satellite images. If successful, you’ll help scientists to better understand how clouds will shape our future climate. This research will guide the development of next-generation models which could reduce uncertainties in climate projections.
Using the cloud images of the past 96 hours taken by the weather satellite Himawari-8 and the corresponding weather analysis data to predict future cloud changes and create an algorithm that generates cloud images for the next 24 hours.
Logistics in Sub-Saharan Africa increases the cost of manufactured goods by up to 320%; while in Europe, it only accounts for up to 90% of the manufacturing cost.
Economies are better when logistics is efficient and affordable.
Sendy, in partnership with insight2impact facility, is hosting a Zindi challenge to predict the estimated time of delivery of orders, from the point of driver pickup to the point of arrival at final destination.