Blog


Where's Whale-Do? Data Exploration and Benchmark

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

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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!

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Introduction to Image Classification using Camera Trap Images

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

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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

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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!

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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!

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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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Meet the winners of the Deep Chimpact: Depth Estimation for Wildlife Conservation Challenge

Meet the minds behind the top models for measuring wildlife depth! Accurate depth estimations help ecologists track wildlife populations and protect the ecosystems that depend on them.

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Run-way Functions: Predict Reconfigurations at US Airports - Benchmark

Start exploring how to help airports manage their runways to keep air traffic flowing.

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Meet the winners of the Image Similarity Challenge

Introducing the winners of the Facebook AI Image Similarity Challenge! Meet the top teams who matched manipulated images with their source images.

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How to Use Deep Learning, PyTorch Lightning, and the Planetary Computer to Predict Cloud Cover in Satellite Imagery

We'll demonstrate how to get started predicting cloud cover in satellite imagery for our new competition!

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Meet the winners of STAC Overflow: Map Floodwater from Radar Imagery Challenge

Meet the winners who were best able to detect floodwater using synthetic-aperture radar (SAR) imagery! These winners developed solutions that can help to strengthen early warning systems and direct emergency relief.

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Deep Chimpact: Depth Estimation for Wildlife Conservation - Benchmark

In this guest post by MathWorks, we'll show you how to start working with camera trap videos to estimate the distance to an animal seen in the wild.

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Meet the winners of the Overhead Geopose Challenge

Meet the winners with the best models for mapping oblique satellite imagery to geocentric pose! These winners helped made overhead imagery more useful for time-sensitive applications like emergency response.

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A peek inside DrivenData's code execution competitions

Code execution competitions allow participants to run their code on unseen test sets and have their best scores displayed on a live leaderboard. Read on to learn more about the what, why, and how of DrivenData code execution competitions!

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How to Map Floodwater from Radar Imagery using Semantic Segmentation - Benchmark

We'll show you how to tune a U-Net model to measure flood extent using Sentinel-1 synthetic-aperture radar imagery.

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Facebook AI Image Similarity Challenge - Getting Started

In this post, we will introduce the Facebook AI Image Similarity Challenge and highlight some resources to help you get started.

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Community Spotlight: Cecilia Ferrando

The Community Spotlight features fantastic members from our DrivenData community. Cecilia Ferrando, a PhD student at UMass Amherst, shares her thoughts about data privacy, her non-traditional career journey, and how she hopes the field will continue to evolve.

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Community Spotlight: Karim Amer

The Community Spotlight features fantastic members from our DrivenData community. Karim Amer runs a startup based in Egypt that develops novel AI technologies for AgriTech. Karim talks about the beauty of neutral networks, what has helped him succeed in data science, and the problems he hopes to explore in the future.

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Meet the Winners of the Differential Privacy Temporal Map Challenge: Sprint 3

Learn how these top teams built the most accurate ways to privatize millions of taxi rides.

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