Computer Vision Blog

Discovery how specialized sports computer vision agencies structure project timelines, deliverables, and video analysis features.

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.