LABSBlog
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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Overhead Geopose Challenge - Benchmark
We'll show you how to get started with the residual U-NET benchmark model, a state-of-the-art approach to predicting the height and pose of ground objects for monocular satellite images taken from oblique angles.
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Meet the winners of MagNet: Model the Geomagnetic Field
Meet the winners who were best able to predict disturbances in Earth's magnetic field, and hear them explain their creative solutions.
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Meet the Winners of the Differential Privacy Temporal Map Challenge: Sprint 2
Learn how these top teams built the most accurate ways to privatize census records.
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Meet the winners of Wind-dependent Variables: Predict Wind Speeds of Tropical Storms
Meet the winners who were best able to estimate the wind speeds of tropical storms at different points in time using satellite images.
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Meet the winners of the Genetic Engineering Attribution Challenge
Check out the winning solutions to identify the lab-of-origin for genetically engineered DNA, and meet their leaderboard-topping creators.
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Meet the winners of the Hateful Memes Challenge
Hear from the winners who were best able to detect hate speech in memes using multi-modal models.
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Meet the Winners of the Differential Privacy Temporal Map Challenge: Sprint 1
Hear how these top teams built the most accurate ways to privatize emergency call data in Baltimore.
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How to Predict Disturbances in the Geomagentic Field with LSTMs - Benchmark
We'll show you how to train an LSTM network using space weather data to predict changes in Earth's magnetic field for our latest challenge.
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How to Use Deep Learning to Predict Tropical Storm Wind Speeds - Benchmark
We'll show you how to start predicting wind speeds for our latest disaster preparedness challenge.
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Meet the winners of TissueNet: Detect Lesions in Cervical Biopsies
Hear from the winners who were best able to diagnose whole slide images of cervical biopsies using computer vision.
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Easier Code Reviews for Jupyter Notebooks with nbautoexport
Learn how DrivenData uses nbautoexport, an open-source tool we developed, to make Jupyter Notebook code reviews easier.
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Community Spotlight: Quy Nguyen
The Community Spotlight features fantastic members from our DrivenData community. Quy Nguyen, a data scientist from Vietnam, talks about building time series models with lag features and the importance of storytelling in data science.
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Community Spotlight: Will Koehrsen
The Community Spotlight features fantastic members from our DrivenData community. Will Koehrsen, a full-stack data scientist from central Illinois, discusses tackling climate change with data science, being self-taught, and his favorite data science tools.
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