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Yogesh Jadhav

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🚀 Exciting news in the world of computer vision! Introducing PACE (Pose Annotations in Cluttered Environments), a groundbreaking benchmark designed to advance pose estimation methods in cluttered scenarios. With 54,945 frames, 257,673 annotations, and 300 videos, PACE covers 576 objects from 44 categories, offering a real-world challenge for state-of-the-art algorithms. This innovative benchmark aims to stimulate further advancements in the field of computer vision. Check out the details and access the code and data at https://ift.tt/dm82OpK. #ComputerVision #AI #MachineLearning #DataScience #Innovation #Technology #ResearchOpportunities

🚀 Exciting news in the world of computer vision! Introducing PACE (Pose Annotations in Cluttered Environments), a groundbreaking benchmark designed to advance pose estimation methods in cluttered scenarios. With 54,945 frames, 257,673 annotations, and 300 videos, PACE covers 576 objects from 44 categories, offering a real-world challenge for state-of-the-art algorithms. This innovative bench...

🚀 Exciting news in the world of computer vision! Introducing PACE (Pose Annotations in Cluttered Environments), a groundbreaking benchmark designed to advance pose estimation methods in cluttered scenarios. With 54,945 frames, 257,673 annotations, and 300 videos, PACE covers 576 objects from 44 categories, offering a real-world challenge for state-of-the-art algorithms. This innovative bench...

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Yogesh Jadhav

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