Rock climbing dataset. Search over 25,200 crags worldwide.

Rock climbing dataset. Existing machine learning models not only fail to accurately predict a problem's difficulty, but Climbing logger and tracker application offering custom insights, stats, and articles + training resources to improve your climbing. OpenBeta is a nonprofit initiative dedicated to providing open access to data about rock climbing routes. 1 Introduction Given rock climbing’s recent increase in popularity, we created a neural network for classifying climbing routes (a. By combining multiple data sources and employing novel processing techniques, it achieves unprecedented accuracy in tracking climbing movements. Search over 25,200 crags worldwide. The focus of this investigation lies in the MoonBoard, a globally standardized rock climbing wall, which simplifies the challenge of locating relevant data and reduces the inherent complexity involved in climbing. Nov 9, 2024 · Sport rock climbing has become more popular during the last few decades, and natural climbing sites are often located at geosites, which are areas of significant geological interest [1]. We demonstrate the quality of the AscendMotion dataset and present promising results from ClimbingCap. CIMI4D is a dataset of rock climbing motions recorded using RGB cameras, LiDAR, and IMUs. Support our work to keep climbing information freely available. a. Jan 18, 2019 · As the sport of outdoor rock climbing rapidly grows, there is increasing pressure to understand how it can affect communities of organisms in cliff habitats. Here are key ways this data can give you a competitive edge in the rock climbing instructor industry. Further, no large dataset ex- ists to learn this problem. Enjoy high-quality, annotated Rock climbing images ideal for image classification, object detection, and segmentation. Although it has been studied for decades, the majority of research focus on ground-based movements such as walking, sitting, dancing, etc. Rock climbing (v20, 2022-11-28 4-11pm_split2), created by University of maine This study endeavors to showcase the viability of leveraging machine learning to automate the procedure of rating rock climbing routes. 8a. Mar 22, 2022 · The reddit survey data has around 600 records with 34 features including sex, height, weight, age, years climbing, maximum climbing grade acheived, maximum consective pullups, while the kaggle 8a. ) To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. nu was analyzed using ordinary least squares regression to determine whether certain characteristics - specifically, a climbers height, weight, age, and years of experience - have a statistically significant influence on overall rock climbing ability. 61 open source Hand-holds images plus a pre-trained Rock climbing model and API. Since then, rock climbing has evolved to a popular sport finding its way into the Olympics for the first time in Tokyo 2020. Created by University of maine Motion capture is a long-standing research problem. To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon dataset from 12 persons climbing 13 different climbing walls. Rock climbing (v50, 2022-11-28 9-18pm_ex_br_bl_ns), created by University of maine Mar 31, 2023 · The research community does not have an in-depth understanding of the climbing action due to the lack of specific datasets. k. The images will cover a wide range of climbing holds, such as jugs, crimps, slopers, pockets, and various climbing volumes, including cubes, wedges, and features of different shapes and sizes. OpenBeta is an open source project dedicated to ensuring free and open access to rock climbing data in computer programming, research, and data science endeavors. The dataset consists of around 180,000 frames of pose inertial mea-surements, LiDAR point clouds, RGB videos, high-precision static point cloud scenes, and reconstructed scene meshes. To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. Our data covers 1 cities with comprehensive business information. This paper proposes a method of using self-supervised learning on related tasks in adjacent labeled datasets to learn representations to Our comprehensive dataset of 0 Natural rock climbing areas in Dominican Republic empowers you to reach the right audience through multiple channels. To address this limitation, we collect CIMI4D, a large rock \textbf {C}l\textbf {I}mbing \textbf {M}ot\textbf {I}on dataset from 12 persons climbing 13 different climbing walls. Our comprehensive dataset of 1 Rock climbing instructors in Tasmania empowers you to reach the right audience through multiple channels. (This is a work in progress. Here are key ways this data can give you a competitive edge in the rock climbing gym industry. These geosites, when they include massive rocks with vertical slopes that are ideal for climbing, hold great potential to attract climbers along with other geotourists, thereby boosting the local economy. It consists of 412k RGB, LiDAR frames, and IMU measurements, which includes the challenging climbing motions of 22 professional climbing coaches across 12 different rocks. Dec 9, 2022 · 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. Here are key ways this data can give you a competitive edge in the natural rock climbing area industry. 4 days ago · These venues offer opportunities to participate in free and fee-based, organized and pick-up, indoor and outdoor sports and physical fitness related activities in the area of Rock Climbing. Data was sourced from routes created for the Moonboard. To that end, we surveyed 32 cliff sites in Boulder, Colorado, USA, and assessed the relative roles of human recreation and natural habitat features as drivers of bird diversity and activity. Reddit's rock climbing training community. Discover detailed information about their distribution, locations, and access the latest data. Publish rock climbing datasets, volumes of crowd-sourced climbing information, created and shared by climbers, under an open license. The discipline presents humans performing spectacular movements that defy gravity. Feb 2, 2021 · Classifying the difficulties of climbing routes and generating new routes are both challenging. Since rock climbing is a solo sport, there is a need for methods of feedback and analysis of climbs. CIMI4D collects 42 action sequences of 12 actors climbing 13 rock walls, and provides finely annotated human poses and global trajectories (orange lines). Open source rock climbing platformBuilt and run by climbers. 📋 To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon on dataset from 12 persons climbing 13 different climbing walls. ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate —Supplementary Material Ming Yan1,2,3∗ Xincheng Lin1,3∗ Yuhua Luo1,3 Shuqi Fan1,3 Yudi Dai7 Qixin Zhong4 Lincai Zhong5 Yuexin Ma6 Lan Xu6 Chenglu Wen1,3 Siqi Shen1,3† Cheng Wang1,3 1Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University 2National Institute for Data Science in Find climbing areas all over the world Planning a rock trip or just browsing for awesome climbing spot? Explore the world's most comprehensive index of climbing areas. Name Can be any part of a crag name, ie edge Type allows you to narrow down to only crags that contain at least one route of a specific climbing type. We detected only native avian species during Rock climbing is an increasingly popular activity, lead- ing to indoor gyms creating their own routes. The grip orientation is based on official Moonboard specifications, while hold type is determined by consensus among experienced climbers. With this data, you can gain insights into industry trends and make informed decisions about Screen Activity Recording, User Intent Tracking, Data Retrieval Tracking, Data Entry Recording, Command Recording, Query Selection Tracking, Deleting Records, Editing Records, Inserting 201 open source Rock-Climbing-Holds images plus a pre-trained route-scout model and API. The dataset consists of around 180,000 frames of pose inertial measurements, LiDAR point clouds, RGB videos, high-precision static point cloud scenes, and reconstructed scene meshes. Use the climbing dataset in your projects. A large dataset scraped from the online rock climbing log www. This tool could either speed up or replace traditionally heuristic-based approachs to ranking climbing problems, thereby lowering the barrier of entry for anyone seeking to create their own routes or validate 1 Introduction Given rock climbing’s recent increase in popularity, we created a neural network for classifying climbing routes (a. problems) into suitable difficulty categories. Mar 27, 2025 · 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 coordinate system. Unlock the complete dataset of 1 verified Rock climbing gyms in Goa, India available in multiple formats (JSON, CSV, Excel). Off- grounded actions such as climbing are largely overlooked. The Moonboard is a standardized climbing wall located in many gyms around the world. It consists of 412k RGB, LiDAR frames, and IMU measurements, including the challenging climbing motions of 22 skilled climbing coaches across 12 different rock walls. The dataset was cleaned and then organized to include the maximum climbing RouteFinder Choosing the Right Sport Climbing Route for You by Jake Present, Kiera Berger, and Casey Boland What does it take to become a better sport climber? If you could teleport to any climbing area in the United States, where should you go? What differentiates a route with a beginner level YDS (Yosemite Decimal System) rating from one an advanced climber can send? Is it technical skills Download the Rock climbing labeled image dataset from images. 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. Created by Rock Climbing Ident Apr 5, 2025 · To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. The introduction of both a specialized dataset and method addresses a clear gap in the field. A third year project that revolves around classification of climbing routes using image processing and deep learning techniques - tonylay7/bouldering_route_classification This project explored different machine learning methods to create a classifier to determine the difficulty of climbing routes. Our comprehensive dataset of 5 Rock climbing instructors in New South Wales empowers you to reach the right audience through multiple channels. The company who sells it has built a platform so that users can generate and share routes to climb. ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate Ming Yan1,2,3∗ Xincheng Lin1,3∗ Yuhua Luo1,3 Shuqi Fan1,3 Yudi Dai7 Qixin Zhong4 Lincai Zhong5 Yuexin Ma6 Lan Xu6 Chenglu Wen1,3 Siqi Shen1,3† Cheng Wang1,3 1Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University 2National Institute for Data Science in Health and Medicine, Xiamen Feb 29, 2024 · To address this limitation, we collect CIMI4D, a large rock C l I mbing M ot I on dataset from 12 persons climbing 13 different climbing walls. The AscendMotion dataset and the source code of ClimbingCap will be released publicly to the research community. cv — perfect for computer vision, machine learning, and AI projects. As of July, 2025, we have compiled data on 9 verified listings. These articles, podcasts, videos, and more can help you do the same. Complete Rock Climbing Dataset Fields Overview Our dataset for Rock Climbings in Kansas is one of the most comprehensive in the industry. Images and annotations of holds and routes from indoor climbing gyms. 1 INTRODUCTION Rock climbing is a relatively modern sport, finding its roots in Yosemite Valley, California. As an important type of action in sports and firefighting field, the climbing movements is challenging to capture because of its complex back ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate —Supplementary Material Ming Yan1,2,3∗ Xincheng Lin1,3∗ Yuhua Luo1,3 Shuqi Fan1,3 Yudi Dai7 Qixin Zhong4 Lincai Zhong5 Yuexin Ma6 Lan Xu6 Chenglu Wen1,3 Siqi Shen1,3† Cheng Wang1,3 1Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University 2National Institute for Data Science in To address the insuficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing mo-tion dataset. Mar 27, 2025 · To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. This dataset include diverse climbing routes with various types of holds and volumes, captured from different angles, lighting conditions, and backgrounds. Dedicated to increasing all our knowledge about how to better improve at our sport. Our comprehensive dataset of 1 Rock climbing gyms in Shanghai empowers you to reach the right audience through multiple channels. Applying AI to climbing … The Long Road to the 2020 Tokyo Olympics Mar 28, 2025 · Conclusion ClimbingCap represents a significant step forward in specialized motion capture for rock climbing. For many other solo sports, including running and cycling We rely on measurable data to inform our training and track our progress as rock climbers. This tool could either speed up or replace traditionally heuristic-based approachs to ranking climbing problems, thereby lowering the barrier of entry for anyone seeking to create their own routes or validate Apr 16, 2021 · In this blog series, I attempt to bring two of my passions together … AI and rock climbing. In my last blog, I talked about the 2020 Tokyo Olympics that are expected to take place in 2021, and which will feature rock climbing as a discipline. OpenBeta is 501 (c) (3) nonprofit dedicated to ensuring free and open access to rock climbing data in computer programming, research, and data science endeavors. After the users upload the Oct 29, 2023 · ClimbDB All in one dataset for bouldering!!! Utilize handgathered tabular, video, and pose data to analyze trends in the different styles, physical characteristics, and skills of climbers! 61 open source Hand-holds images plus a pre-trained Rock climbing model and API. The dataset comprises climb sequences and hold coordinates from the Moonboard enhanced by adding grip orientation and hold type. nu and posted the dataset to Kaggle) About A public dataset of rock climbing routes around the world. Mar 31, 2023 · To address this limitation, we collect CIMI4D, a large rock \textbf {C}l\textbf {I}mbing \textbf {M}ot\textbf {I}on dataset from 12 persons climbing 13 different climbing walls. Users have contributed details of climbs, photos, crag location, access notes, guidebooks, rock type, etc. To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon on dataset from 12 persons climbing 13 different climbing walls. There are 932 Rock climbing gyms in United States. Created by University of maine Mar 31, 2023 · To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon dataset from 12 persons climbing 13 different climbing walls. nu dataset has over 60,000 user records including sex, height, weight, age, years climbing, occupation, and every route they logged on the website. Apr 2, 2021 · We compiled data from 600+ rock climbers to find sport-specific strength and endurance standards that can help you know where to focus your training efforts. Our proposed methodology involves utilizing Get access to our comprehensive business and technology dataset with 999 optimized in-depth Rock Climbing questions. The Aug 27, 2020 · This study demonstrates the effects of recreational rock climbing on OSMP's avian cliff communities. The grading of these routes on a scale from V0 to V17 is a controver- sial and subjective process. Analyze the world's largest rock climbing logbook! (I scraped 8a. Our comprehensive dataset of 4 Rock climbing instructors in Western Australia empowers you to reach the right audience through multiple channels. cyyxqxy kqvzg jwu jpib rjner dggi jtsbe cxptfpv mgsaa vsgw