LABSBlog
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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