DrivenData blog

Explore the latest in our mission to build a better world using data science and AI.

Content list

resources

Standing on the Threshold

Using probabilistic classifications from Zamba, we can automatically remove a large majority of blank videos while controlling the fraction of wildlife videos we lose. But how do we know where to draw the line?

resources

Getting started with the Meta AI Video Similarity Challenge

In this post, we walk through the steps for getting started with the Meta AI Video Similarity Challenge.

winners

Meet the Winners of the U.S. PETs Prize Challenge: Phase 1

Hear how these top teams applied novel privacy-enhancing technologies to the problems of financial crime and pandemic forecasting.

resources

Find all the pangolins

We can use Zamba's probablistic classifications to search for videos containing specific animals. Particularly for small animals, this strategy can be highly effective.

tutorial

The BioMassters Challenge - Benchmark

In this guest post by MathWorks, we'll show you how to start working with satellite data to help conservationists predict above ground biomass.

resources

You can stop watching blank videos

Using Zamba's probablistic classifications, you can identify and remove blank videos -- saving viewing time, storage space, and data transfer costs -- while minimizing the loss of videos that contain animals.

case studies

Computer Vision for Wildlife Monitoring in a Changing Climate

Through the Patrick J. McGovern Foundation Accelerator, DrivenData and the Wild Chimpanzee Foundation are teaming up to create automated, accurate, and accessible species detection tools.

tutorial

Mars Spectrometry 2: Gas Chromatography - Benchmark

In this post, we will show you how to get started on analyzing gas chromatography-mass spectrometry (GCMS) data.

winners

Meet the winners of the Snowcast Showdown competition

Meet the winners who most accurately estimated snow water equivalent across the Western U.S. in real-time.

winners

Meet the winners of the Where's Whale-do Challenge

Meet the winners of the Where's Whale-do challenge, and learn about the deep learning models they developed to identify individual Cook Inlet beluga whales from images.

winners

Meet the winners of the Run-way Functions Challenge

Meet the participants who built the best models for predicting airport configurations for 10 U.S. airports! Understanding the complex interactions between air traffic, weather, and airspace operations can help make air travel more smooth and efficient for everyone.

insights

How Classifiable Is It? (Part 2)

Classification algorithms give us a lower bound on how well we can distinguish categories; maybe machine learning competitions give us a way to estimate an upper bound.

insights

How Classifiable Is It? (Part 1)

Classification algorithms give us a lower bound on how well we can distinguish categories; maybe machine learning competitions give us a way to estimate an upper bound.

winners

Meet the winners of the NASA Airathon: Predict Air Quality Challenge

Meet the competitors who topped the leaderboards in the NASA Airathon challenge. Their predictions of surface-level air pollution could give millions of people the information required to protect their health.

winners

Meet the winners of the Mars Spectrometry Challenge

Meet the minds behind the top models for identifying the chemical composition of planetary soil samples using mass spectrometry! Identifying the compounds within such samples can help scientists understand the past habitability of Mars.

tutorial

Where's Whale-Do? Data Exploration and Benchmark

How to get started with the Where's Whale-do beluga photo-identification challenge!

winners

Meet the winners of the Cloud Cover Detection Challenge

Better identifying and removing clouds from satellite imagery enables a wide variety of environmental applications in disaster recovery, conservation, and more. Get to know the winning participants who advanced state-of-the-art methods in cloud detection!

tutorial

Introduction to Image Classification using Camera Trap Images

We'll show you how to get started identifying animal species from camera trap images!

community

Happy April Fools' Day from DrivenData (and our pets)

Hear from the DrivenPets about the results of our competition on the pet-productivity connection for remote workers

tutorial

How to Estimate Surface-level NO2 using OMI Column NO2 Data

We'll show you how to preprocess HDF5 files and work with an OMI NO2 data product to estimate air quality around the world!

tutorial

How to Predict PM2.5 using MAIAC Aerosol Optical Depth Data

We'll show you how to preprocess HDF4 files and work with a MAIAC AOD data product to estimate air quality around the world!

tutorial

Mars Spectrometry: Detect Evidence for Past Habitability - Benchmark

In this post, we will show you how to get started on analyzing mass spectrometry data collected for Mars exploration.

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