Benchmark posts
Explore the latest in our mission to build a better world using data science and AI.
Explore the latest in our mission to build a better world using data science and AI.
An introduction to using large language models via the benchmark to a document summarization challenge.
In this guest post from the MIT Gabrieli Lab, we'll show you how to get started with the literacy screening challenge!
Learn how to process text narratives using open-source LLMs for the Youth Mental Health: Automated Abstraction challenge
An introduction to the NASA Pose Bowl competition, with a benchmark solution for the object detection track
In this guest post from Veratai, we'll help you get started with the SNOMED CT Entity Linking Challenge!
Get started with the VisioMel Challenge! Come up with the best algorithms for predicting melanoma relapse.
Get started with the Pushback to the Future challenge! Come up with the best algorithms for predicting a flight's pushback time from real-time flight data.
We'll show how to use satellite imagery and LightGBM to create a tree-based model predicting harmful algal blooms. This post will help you get started on our new Tick Tick Bloom Challenge!
In this post, we will show you how to get started on analyzing gas chromatography-mass spectrometry (GCMS) data.
How to get started with the Where's Whale-do beluga photo-identification challenge!
We'll show you how to get started identifying animal species from camera trap images!
In this post, we will show you how to get started on analyzing mass spectrometry data collected for Mars exploration.
Start exploring how to help airports manage their runways to keep air traffic flowing.
We'll demonstrate how to get started predicting cloud cover in satellite imagery for our new competition!
We'll show you how to tune a U-Net model to measure flood extent using Sentinel-1 synthetic-aperture radar imagery.
In this post, we will introduce the Facebook AI Image Similarity Challenge and highlight some resources to help you get started.
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.
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.
We'll show you how to start predicting wind speeds for our latest disaster preparedness challenge.
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