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DTSTART;TZID=America/Los_Angeles:20251204T173000
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DTSTAMP:20260614T030155
CREATED:20251204T075244Z
LAST-MODIFIED:20251204T075244Z
UID:10013876-1764869400-1764880200@sdtechscene.org
SUMMARY:Dec 4 - San Diego AI\, ML\, Computer Vision Meetup
DESCRIPTION:Join the Meetup to hear talks from experts on cutting-edge topics across AI\, ML\, and computer vision. \nPre-registration is required. \nDate and Location \nDec 4\, 2025\n5:30 – 8:30 PM \nHilton San Diego Bayfront\n(Across the street from NeurIPS)\nElevation Room\n1 Park Blvd\nSan Diego\, CA \nExtending RT-DETR for Line-Based Object Detection: Paddle Spine Estimation in Pickleball Serve Analysis \nWe present a modified vision transformer–based detection model for estimating the spine line of a pickleball paddle from video data\, developed to support automated serve legality analysis and motion coaching. Building on the RT-DETR architecture\, we reformulated the detection head to predict two keypoints representing the endpoints of the paddle’s longitudinal axis rather than a bounding box\, enabling a general framework for regressing an arbitrary number of vertices defining lines or polygons. \nTo facilitate stable training\, we defined a loss combining a line-IoU term with a cosine-angle regularizer that enforces geometric consistency between predicted and ground-truth orientations. Dataset curation and qualitative validation were performed using FiftyOne\, allowing visual inspection of data diversity pre-training and model quality post-training. The model was trained and deployed end-to-end on the EyePop.ai platform\, which provided data management\, training orchestration\, and model hosting for seamless integration into a third-party application performing real-time serve evaluation and feedback.
URL:https://sdtechscene.org/event/dec-4-san-diego-ai-ml-computer-vision-meetup/
LOCATION:Hilton Bayfront Hotel\, 1 Park Blvd\, San Diego\, CA\, United States
CATEGORIES:AI,Computer Science
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