Rock climbing dataset. Further, no large dataset ex- ists to learn this problem.

Rock climbing dataset. Rock-Climbing-Hold-Detection dataset by GDSCMoonless ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate: Paper and Code. 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. One single user, in USAC Database, USA Climbing result archive, competitive rock climbing competition events results Rock climbing is an increasingly popular activity, lead- ing to indoor gyms creating their own routes. One is to learn about the capabilities of the existing systems, what data they are able to provide, how the data is being used to support climbing safety, their success factors as Apr 16, 2024 · Climbing Ratings is a " software that estimates ratings for the sport of rock climbing. 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 This initial version of the database compiles information about existing, national systems and processes for accident and incident reporting relating to climbing and mountaineering. To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon on dataset from 12 persons climbing 13 different climbing walls. nu which is a website where users can log outdoor climbing routes that they have successfully climbed. a. The dataset was cleaned and then organized to include the maximum climbing Reddit's rock climbing training community. 9% in the USA. The social aspect of it only adds to that thought. To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. For many other solo sports, including running and cycling Analyze the world's largest rock climbing logbook! (I scraped 8a. Rock climbing (v16, 2022-11-23 6:52pm), created by University of maine Jul 23, 2021 · 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. These articles, podcasts, videos, and more can help you do the same. The Moonboard is a standardized climbing wall located in many gyms around the world. Dec 9, 2022 · 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. Created by Andrew Elys Workspace To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. nu and posted the dataset to Kaggle) This is partly due to the limited availability of climbing motion datasets, especially large-scale and challenging 3D labeled datasets. The introduction of both a specialized dataset and method addresses a clear gap in the field. Feb 2, 2021 · Classifying the difficulties of climbing routes and generating new routes are both challenging. As an important type of action in sports and firefighting field, the climbing movements is challenging to capture because of its complex back Feb 29, 2024 · Figure 1: CIMI4D is a dataset of rock climbing motions recorded using RGB cameras, LiDAR, and IMUs. Unlike a lot of other popular sports such as basketball and football, data is sparse when it comes to climbing! Luckily, kaggle has a great dataset of users from the world's 52 open source Bounding-box images plus a pre-trained New Hold Detections model and API. This is partly due to the limited availability of climbing motion datasets, especially large-scale and challenging 3D labeled The climbing crux model is a machine-learning project that aims to recognize climbing holds and the distance between them from a photo and suggest routes that fit the user's climbing level. Rock climbing is an increasingly popular activity, lead- ing to indoor gyms creating their own routes. Climbing has become an increasingly popular sport, and the number of accidents is increasing in parallel. The ratings can be used to predict route difficulty and climber performance on a particular route. Human Motion Recovery (HMR) research mainly focuses on ground-based motions such as running. k. Develop and maintain open source tools to enable the community to work with climbing data. 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. The grip orientation is based on official Moonboard specifications, while hold type is determined by consensus among experienced climbers. problems) into suitable difficulty categories. Off- grounded actions such as climbing are largely overlooked. It includes rich modalities from hardware time-synchronized RGB, LiDAR point clouds, and Inertial Mea-surement Unit(IMU) MoCap system. - m 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. This study endeavors to showcase the viability of leveraging machine learning to automate the procedure of rating rock climbing routes. Mar 31, 2023 · The research community does not have an in-depth understanding of the climbing action due to the lack of specific datasets. 1 Introduction Given rock climbing’s recent increase in popularity, we created a neural network for classifying climbing routes (a. The user who uploaded the dataset had scraped the website www. 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 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. The discipline presents humans performing spectacular movements that defy gravity. Reddit's rock climbing training community. 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. cv — perfect for computer vision, machine learning, and AI projects. To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon dataset from 12 persons climbing 13 different climbing walls. Download scientific diagram | Datasets for image classification of field rocks. Climbing logger and tracker application offering custom insights, stats, and articles + training resources to improve your climbing. Rock climbing (v43, 2022-11-28 6-38pm_r_exposure), created by University of maine 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. About This repository contains tools for processing the Moonboard rock climbing hold problems to extract the holds that are used in the problem. 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. 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 Aug 24, 2022 · The dataset The dataset includes 62,593 users (53,902 men and 8,691 women) who logged a total of 4,111,877 ascents (that’s more than 4 millions!), including sport climbing (n=2,875,675) and bouldering (n=1,236,202). 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. The This strikes me as something you could (roughly in two dimensions at least) using machine learning to identify and track the climber's CoG Phillip Watts, Economy in difficult rock climbing in Seifert, Wolf & Schweizer The Science of Climbing and Mountaineering 2017 Reply reply ktap • Search over 25,200 crags worldwide. from publication: Rock Classification from Field Image Patches Analyzed Using a Deep Convolutional Neural Network ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate 该研究由厦门大学空间感知与计算实验室主导，第一作者为2022级博士生颜明和2023级硕士生林心成，合著者包括2024级博士生罗裕华、2023级硕士生范书琪、温程璐教授和王程教授，通讯作者为沈思淇长聘副教授。合作方包括上海科技大学的 The appeal of rock climbing stems from both the physical task of scaling the wall as well as the mental challenge of discovering the correct path to take. A hold is a rock climbing term for the places on the rock surface that are shaped in a way for a climber to attach themselves to the route and propel themselves higher. This paper proposes a method of using self-supervised learning on related tasks in adjacent labeled datasets to learn representations to The dataset comprises climb sequences and hold coordinates from the Moonboard enhanced by adding grip orientation and hold type. This paper proposes a method of using self-supervised learning on related tasks in adjacent labeled datasets to learn representations to Hey, I am searching for an imageset of climbing holds to detect all holds on a climbing/bouldering wall. 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. To address the challenging problem of global climbing motion recovery, we collect the dataset AscendMotion, using LiDAR, RGB camera and Inertial Measurement Unit (IMU) motion capture system with accurate motion labels and global trajectories (the blue and orange human bodies in right side of the figure represent labeled motions, and the orange curve represents the motion The sport of rock climbing has been steadily increasing in popularity. The grading of these routes on a scale from V0 to V17 is a controver- sial and subjective process. Data was sourced from routes created for the Moonboard. CIMI4D contains 42 action sequences of 12 actors climbing 13 climbing walls, and provides finely annotated human poses and global trajectories (orange lines). Mar 31, 2023 · To address this limitation, we collect CIMI4D, a large rock ClImbing MotIon dataset from 12 persons climbing 13 different climbing walls. May 12, 2025 · About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket © 2025 Google LLC 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. Overview. Does anyone know of a set I can use? Thanks! Mar 27, 2025 · To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. 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. Figure 1. Open source rock climbing 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. 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. 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 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. CIMI4D is a dataset of rock climbing motions recorded using RGB cameras, LiDAR, and IMUs. Enjoy high-quality, annotated Rock climbing images ideal for image classification, object detection, and segmentation. 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 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 Images and annotations of holds and routes from indoor climbing gyms. Our proposed methodology involves utilizing Apr 16, 2021 · In this blog series, I attempt to bring two of my passions together … AI and rock climbing. Motion capture is a long-standing research problem. 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. Climbing has transformed from an off-the-beaten-path lifestyle, to a competitive sport being featured in the 2021 olympics. About A public dataset of rock climbing routes around the world. It also seeks to create a webcrawler to create a labelled dataset of Moonboard problems, and their difficulties to be used in later projects (classification of problems, and generation of problems). Rock climbing (v20, 2022-11-28 4-11pm_split2), created by University of maine 201 open source Rock-Climbing-Holds images plus a pre-trained route-scout model and API. ) 61 open source Hand-holds images plus a pre-trained Rock climbing model and API. (This is a work in progress. Jan 30, 2025 · 1 Introduction Rock climbing’s popularity as a recreational sport is growing dramatically. This is the first issue with the data: it only contains successful routes that users have Sep 12, 2023 · 4282 open source Rock-Climbing-Holds images. This gist provides an outline or a model of application that combines a database for routes and climbing sites as well as a social point where climbers could meet and interact with one-another. 8a. 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. From 2012-2017, the IBISWorld estimates that from average annual growth for the indoor climbing wall industry was 3. The pictures showcase various types of complex scenes (7 of them has high-precision point cloud scan) and challenging actions in CIMI4D. The company who sells it has built a platform so that users can generate and share routes to climb. Created by University of maine 1 INTRODUCTION Rock climbing is a relatively modern sport, finding its roots in Yosemite Valley, California. 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. The average number of ascents per user is 110, with the majority of the users (median) logging 35 ascents and 90% of them logging between 3 and 306 ascents. The study on capturing climbing motion, an off-ground motion, is sparse. In 2015, it ranked 17th out of 111 out of the most popular sports in the United States ( Physical May 28, 2025 · To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. Aug 27, 2020 · This study demonstrates the effects of recreational rock climbing on OSMP's avian cliff communities. After the users upload the 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 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! Open source rock climbing platformBuilt and run by climbers. Created by Pwals 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. Users have contributed details of climbs, photos, crag location, access notes, guidebooks, rock type, etc. Created by University of maine Download the Rock climbing labeled image dataset from images. We detected only native avian species during Feb 12, 2020 · The data set can be downloaded as a sqlite database, but I found Pandas to be a bit slow at reading this and exported each of the four tables from the database as individual csv files for analysis. Indoor climbing wall facilities often times delineate routes through a grading system that allow for climbers to undertake a natural progression of routes to complete as a means for measuring 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. 47 open source holds-bouldering-holds-climbing-holds images plus a pre-trained Bouldering holds model and API. Rock climbing (v1, 2022-10-03 5:10pm), created by University of maine Bibliographic details on ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate. nu dataset Publish rock climbing datasets, volumes of crowd-sourced climbing information, created and shared by climbers, under an open license. Mar 28, 2025 · Conclusion ClimbingCap represents a significant step forward in specialized motion capture for rock 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]. 61 open source Hand-holds images plus a pre-trained Rock climbing model and API. By combining multiple data sources and employing novel processing techniques, it achieves unprecedented accuracy in tracking climbing movements. We aim at describing the characteristics of climbing accidents leading to severe (multisystem) trauma using data from the International Alpine 91 open source objects images plus a pre-trained Indoor Rock Climbing model and API. Applying AI to climbing … The Long Road to the 2020 Tokyo Olympics Get access to our comprehensive business and technology dataset with 999 optimized in-depth Rock Climbing questions. Rock climbing (v50, 2022-11-28 9-18pm_ex_br_bl_ns), created by University of maine Climber and Route tables clean from the 8a. Since then, rock climbing has evolved to a popular sport finding its way into the Olympics for the first time in Tokyo 2020. Dedicated to increasing all our knowledge about how to better improve at our sport. Created by Rock Climbing To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. I wonder if you could also control for age began climbing- if you have age in the dataset, one way would be to simply subtract climbing years from age. This dataset include diverse climbing routes with various types of holds and volumes, captured from different angles, lighting conditions, and backgrounds. Since rock climbing is a solo sport, there is a need for methods of feedback and analysis of climbs. Rock climbing (v56, 2022-12-09 8:37am), created by University of maine 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. It is a unique activity for both the body and the mind. Very interesting about years of climbing, averages, BMI, gender, and progressions. 61 open source Hand-holds images and annotations in multiple formats for training computer vision models. nu dataset has over 60,000 user records including sex, height, weight, age, years climbing, occupation, and every route they logged on the website. Data about routes, climbing sites and countries containing them is highly connected and like a perfect job for a graph database such as Neo4j. Although it has been studied for decades, the majority of research focus on ground-based movements such as walking, sitting, dancing, etc. 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. ‪ETH Zurich‬ - ‪‪Cited by 329‬‬ - ‪Computer Vision‬ - ‪Point Cloud‬ - ‪Motion capture‬ - ‪Human-Scene interaction‬ - ‪Multi-modal‬ To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. 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. Existing machine learning models not only fail to accurately predict a problem's difficulty, but ‪ETH Zurich‬ - ‪‪引用次数：332 次‬‬ - ‪Computer Vision‬ - ‪Point Cloud‬ - ‪Motion capture‬ - ‪Human-Scene interaction‬ - ‪Multi-modal‬ We rely on measurable data to inform our training and track our progress as rock climbers. Further, no large dataset ex- ists to learn this problem. Great analysis! I think this is a wonderful reference for people who take climbing seriously, ie the 8a. CIMI4D collects 42 action sequences of 12 actors climbing 13 rock walls, and provides finely annotated human poses and global trajectories (orange lines). 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. OpenBeta is a nonprofit initiative dedicated to providing open access to data about rock climbing routes. Created by Rock Climbing Ident To address the insufficiency of climbing motion datasets, we collect AscendMotion, a large-scale well-annotated, and challenging climbing motion dataset. A large dataset scraped from the online rock climbing log www. nu set. 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. This work serves two purposes. Rock climbing (v31, 2022-11-28 5-16pm_bright), created by University of maine. In a puzzle-solving manner, climbers strategically scale vertical natural or artificial rock routes–a series of rock features–using their hands and feet. People are drawn to rock climbing because it is an activity in which one can improve Apr 15, 2022 · In searching for a dataset of attempted climbs, I stumbled upon this Kaggle dataset. AscendMotion dataset includes the mo-tions of 22 skilled climbers climbing 12 different rock walls. leji kcadhoy zsn qglylx xju ggvhbrf kytotv lpxli kmslp cxhm