What’s New in Laptop Imaginative and prescient and Object Detection? | by TDS Editors | Jul, 2024

What’s New in Laptop Imaginative and prescient and Object Detection? | by TDS Editors | Jul, 2024
What’s New in Laptop Imaginative and prescient and Object Detection? | by TDS Editors | Jul, 2024


Feeling impressed to write down your first TDS publish? We’re always open to contributions from new authors.

Earlier than we get into this week’s choice of stellar articles, we’d wish to take a second to thank all our readers, authors, and members of our broader group for serving to us attain a significant milestone, as our followers rely on Medium simply reached…

We couldn’t be extra thrilled — and grateful for everybody that has supported us in making TDS the thriving, learning-focused publication it’s. Right here’s to extra development and exploration sooner or later!

Again to our common enterprise, we’ve chosen three latest articles as our highlights this week, centered on cutting-edge instruments and approaches from the ever-exciting fields of pc imaginative and prescient and object detection. As multimodal fashions develop their footprint and use circumstances like autonomous driving, healthcare, and agriculture go mainstream, it’s by no means been extra essential for knowledge and ML practitioners to remain up-to-speed with the newest developments. (If you happen to’re extra concerned with different subjects for the time being, we’ve received you lined! Scroll down for a handful of fastidiously picked suggestions on neuroscience, music and AI, environmentally acutely aware ML workflows, and extra.)

  • Mastering Object Counting in Videos
    Correct object detection in movies comes with a number of recent challenges when in comparison with the identical course of in static photographs. Lihi Gur Arie, PhD presents a transparent and concise tutorial that exhibits how one can nonetheless accomplish it, and makes use of the enjoyable instance of counting shifting ants on a tree to make her case.
  • Spicing Up Ice Hockey with AI: Player Tracking with Computer Vision
    For anybody on the lookout for a radical and fascinating mission walkthrough, we strongly suggest Raul Vizcarra Chirinos’ writeup of his latest try and construct a hockey-player tracker from (roughly) scratch. Utilizing PyTorch, pc imaginative and prescient strategies, and a convolutional neural community (CNN), Raul developed a prototype that may observe gamers and gather primary efficiency statistics.
  • A Crash Course of Planning for Perception Engineers in Autonomous Driving
    Whereas we’d nonetheless be years away from self-driving vehicles dominating our roads, researchers and trade gamers have made vital progress in recent times. Practitioners who’d wish to increase their data of planning and decision-making within the context of autonomous driving shouldn’t miss Patrick Langechuan Liu’s complete “crash course” on the subject.
Photograph by Harpreet Singh on Unsplash

Leave a Reply

Your email address will not be published. Required fields are marked *