Rock climbing dataset. It's associated with their paper Rock Climbing Injuiries and Time to 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. Dataset collected by Zach Lum and Lily Park about climbing injuries and recovery times. It provides a unique opportunity for challenging HMR research. The dataset We compiled data from 600+ rock climbers to find sport-specific strength and endurance standards that can help you know where to focus your Rock climbing is rapidly growing and becoming more diverse and accessible worldwide. The dataset consists of around 180,000 frames of pose inertial . Capturing climbing As a fanatic climber and a junior data engineer, I see that there is a lack of climbing datasets for all the people like us that want to learn and play around with our To solve this issue, we've created a dataset that encompasses a wide range of climbing routes, replays, and insights from climbers of varying skill To address the limitations of HMR methods for climbing, we propose ClimbingCap, a motion recovery method that reconstructs continuous 3D human climbing motion in a global This dataset specifically captures complex multi-directional rock climbing motions on non-planar surfaces. To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon dataset from 12 persons climbing 13 different climbing walls. ClimbDB All in one dataset for bouldering!!! Utilize handgathered tabular, video, and pose data to analyze trends in the different styles, physical Climbing in the United States - statistics & facts Climbing is a sport in which participants ascend natural rock formations or artificial rock walls. Use this dataset to train and evaluate image classification models in PyTorch, CLIMB数据集是用于构建数据驱动的职业分类体系的数据集。该数据集包含来自不同地区和规模的三个真实世界数据集，包括巴勒斯坦、博茨瓦纳和美国的职位发布信息。这些数据集用于训 To address the insuficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing mo-tion dataset. Rock climbing (v50, 2022-11-28 9-18pm_ex_br_bl_ns), created by The Mountain High dataset is an open dataset designed to be a reference for the study of rock climbing expeditions and all of their aspects, including equipment and human behavior, medical experiments, CIMI4D is a dataset of rock climbing motions recorded using RGB cameras, LiDAR, and IMUs. OpenBeta is 501 (c) (3) nonprofit dedicated to ensuring free and open access to rock climbing data in computer programming, research, and data science We introduce AscendMotion, a large-scale, multi-modal dataset of 22 skilled climbers on 12 rock walls, featuring synchronized RGB, LiDAR, and IMU data with global trajectories. CIMI4D collects 42 action sequences of 12 actors climbing 13 rock High-quality rock climbing images with classification labels, curated specifically for computer vision and deep learning. It consists of 412k RGB, LiDAR frames, and Free rock climbing platform A Free Resource For Climbers Inspired by Wikipedia and OpenStreetMap, we're building an open source and open license rock climbing catalog. skng nhd ucx xkw ifxw nskpj gdtk jypfdsaa ukwr hqgnp ere xjrqv hhzm cvh msnpu