Computer Vision Blog

Learn how computer vision (CV) helps swimmers auto-count and track swim stroke rates for boosted performance, insights, and engagement.

Discover the latest advancements in multimodal information retrieval since the grounbreaking publication of CLIP.

Microsoft's Phi-3.5 Vision is a lightweight, multimodal AI model designed for environments with limited memory and computational resources.

How Swim AI's auto split feature is helping swimmers shave seconds off their time and develop Olympic-level pacing strategies

Learn how state-of-the-art approaches solve Re-ID for accurate sports Identification and tracking.

YOLOv10's new architecture introduces significant improvements in speed, accuracy, and efficiency, making it a game-changer for applications requiring real-time insights.

The sports industry is undergoing a technological revolution, and at the forefront of this change is computer vision (CV). Learn how to integrate CV for your own sports org.

It's often challenging for small items to be managed by traditional inventory systems. See how computer vision solves this by automating inventory tracking for small items.