Computer vision 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.
Learn about the top solutions submitted for the Pose Bowl: Spacecraft Detection and Pose Estimation Challenge.
An introduction to the NASA Pose Bowl competition, with a benchmark solution for the object detection track
Although Zamba's models are trained with animals from Africa and Europe, they can be used with videos from other locations that show species the models have never seen. We demonstrate with a dataset from New Zealand.
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?
We can use Zamba's probablistic classifications to search for videos containing specific animals. Particularly for small animals, this strategy can be highly effective.
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.
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.
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!
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.
Introducing the winners of the Facebook AI Image Similarity Challenge! Meet the top teams who matched manipulated images with their source images.
In this post, we will introduce the Facebook AI Image Similarity Challenge and highlight some resources to help you get started.
Hear from the winners who were best able to detect hate speech in memes using multi-modal models.
Meet the winners who were best able to detect clogged blood vessels and advance Alzheimer's research from 3D image stacks.
We're launching a new competition to detect hateful memes. In this post, we'll show you how to get started!
Meet the winners who built the best wildlife identifiers!
We show you how to get off to a wild start on our animal identification competition using a neural network!
Using AI to study the natural world: check out the results!
See how DrivenData's top modelers managed to predict length, species, and count from videos of fish captured on fishing vessels.
How about some deep learning to identify wild animals in camera traps? Here's a benchmark post to get contributors started in our newest challenge.
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