Physical Exercise Recognition Dataset
- kaggle.com
Updated Feb 16, 2023
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EmailClick to copy linkLink copiedCiteMuhannad Tuameh (2023). Physical Exercise Recognition Dataset [Dataset]. https://www.kaggle.com/datasets/muhannadtuameh/exercise-recognitionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 16, 2023AuthorsMuhannad TuamehLicenseAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automaticallyDescriptionNote:
Because this dataset has been used in a competition, we had to hide some of the data to prepare the test dataset for the competition. Thus, in the previous version of the dataset, only train.csv file is existed.
Content
This dataset represents 10 different physical poses that can be used to distinguish 5 exercises. The exercises are Push-up, Pull-up, Sit-up, Jumping Jack and Squat. For every exercise, 2 different classes have been used to represent the terminal positions of that exercise (e.g., “up” and “down” positions for push-ups).
Collection Process
About 500 videos of people doing the exercises have been used in order to collect this data. The videos are from Countix Dataset that contain the YouTube links of several human activity videos. Using a simple Python script, the videos of 5 different physical exercises are downloaded. From every video, at least 2 frames are manually extracted. The extracted frames represent the terminal positions of the exercise.
Processing Data
For every frame, MediaPipe framework is used for applying pose estimation, which detects the human skeleton of the person in the frame. The landmark model in MediaPipe Pose predicts the location of 33 pose landmarks (see figure below). Visit Mediapipe Pose Classification page for more details.
https://mediapipe.dev/images/mobile/pose_tracking_full_body_landmarks.png" alt="33 pose landmarks">
- g
Workout/Exercises Video
- gts.ai
- kaggle.com
jsonUpdated Jun 13, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteGTS (2024). Workout/Exercises Video [Dataset]. https://gts.ai/dataset-download/workout-exercises-video/jsonAvailable download formatsDataset updatedJun 13, 2024Dataset provided byGLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITEDAuthorsGTSLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionThis dataset was created by myself. This dataset contains videos of people doing workouts. The name of the existing workout corresponds to the name of the folder listed.
Sports Videos dataset GD
- kaggle.com
Updated Oct 19, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteGunjan Dhanuka (2023). Sports Videos dataset GD [Dataset]. https://www.kaggle.com/datasets/lucifergd192/sports-videos-dataset-gdCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 19, 2023AuthorsGunjan DhanukaDescriptionDataset
This dataset was created by Gunjan Dhanuka
Contents
reading_data
- kaggle.com
Updated Nov 17, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAyyuce Kaytazci (2020). reading_data [Dataset]. https://www.kaggle.com/ayyucek/reading-data/codeCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedNov 17, 2020AuthorsAyyuce KaytazciDescriptionDataset
This dataset was created by Ayyuce Kaytazci
Contents
pyhton exercises
- kaggle.com
Updated Jan 23, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBeste Sakar (2022). pyhton exercises [Dataset]. https://www.kaggle.com/bestesakar/pyhton-exercises/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJan 23, 2022AuthorsBeste SakarDescriptionDataset
This dataset was created by Beste Sakar
Contents
Classroom Example for Peter
- kaggle.com
Updated Mar 9, 2018ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMeghan O'Connell (2018). Classroom Example for Peter [Dataset]. https://www.kaggle.com/moconnell/classroom-example-for-peter/metadataCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 9, 2018AuthorsMeghan O'ConnellLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionExample of exercise for class XYZ available in the kernels tab.
Rehabilitation exercises dataset
- kaggle.com
Updated Jun 11, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAbdalla Hamdy Abdo Mansour Abdeldayem (2024). Rehabilitation exercises dataset [Dataset]. https://www.kaggle.com/datasets/abdallahamdy22/rehabilitation-exercises-dataset/suggestionsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJun 11, 2024AuthorsAbdalla Hamdy Abdo Mansour AbdeldayemLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionDataset
This dataset was created by Abdalla Hamdy Abdo Mansour Abdeldayem
Released under Apache 2.0
Contents
home data for ml course
- kaggle.com
zipUpdated Aug 27, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJulián Pérez Pesce (2019). home data for ml course [Dataset]. https://www.kaggle.com/datasets/estrotococo/home-data-for-ml-coursezip(199207 bytes)Available download formatsDataset updatedAug 27, 2019AuthorsJulián Pérez PesceLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionExercise: Machine Learning Competitions
When you click on Run / All, the notebook will give you an error: "Files doesn't exist" With this DataSet you fix that. It's the same from DanB. Please UPVOTE!
Enjoy!
Pulse Rates and Exercise
- kaggle.com
Updated Sep 29, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJohar M. Ashfaque (2019). Pulse Rates and Exercise [Dataset]. https://www.kaggle.com/datasets/ukveteran/pulse-rates-and-exercise/codeCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedSep 29, 2019AuthorsJohar M. AshfaqueDescriptionDataset
This dataset was created by Johar M. Ashfaque
Contents
Workout Fitness dataset
- kaggle.com
Updated Jun 14, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTalha Anjum (2025). Workout Fitness dataset [Dataset]. https://www.kaggle.com/datasets/talhaanjum0/workout-fitness-dataset/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJun 14, 2025AuthorsTalha AnjumLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionDataset
This dataset was created by Talha Anjum
Released under Apache 2.0
Contents
gym and diet recommendation
- kaggle.com
Updated Oct 24, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCitemanohar025 (2024). gym and diet recommendation [Dataset]. https://www.kaggle.com/datasets/manohar025/gym-and-diet-recommendation/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 24, 2024Authorsmanohar025DescriptionDataset
This dataset was created by manohar025
Contents
weights
- kaggle.com
Updated Dec 6, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitechu (2024). weights [Dataset]. https://www.kaggle.com/datasets/n26122343/weightsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 6, 2024AuthorschuDescriptionDataset
This dataset was created by chu
Contents
weights
- kaggle.com
Updated Aug 16, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDor Tirosh (2021). weights [Dataset]. https://www.kaggle.com/datasets/tiroshdor/weightsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 16, 2021AuthorsDor TiroshDescriptionDataset
This dataset was created by Dor Tirosh
Contents
combined
- kaggle.com
Updated Dec 10, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSumit Surin (2024). combined [Dataset]. https://www.kaggle.com/datasets/sumitsurin/combinedCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 10, 2024AuthorsSumit SurinDescriptionDataset
This dataset was created by Sumit Surin
Contents
weights
- kaggle.com
Updated Oct 19, 2022+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteMemin (2022). weights [Dataset]. https://www.kaggle.com/datasets/topuzm15/weightsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 19, 2022AuthorsMeminDescriptionDataset
This dataset was created by Memin
Contents
sports
- kaggle.com
Updated Nov 23, 2023+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitetop123one (2023). sports [Dataset]. https://www.kaggle.com/datasets/top123one/sportsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedNov 23, 2023Authorstop123oneDescriptionDataset
This dataset was created by top123one
Contents
weights
- kaggle.com
Updated Apr 15, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteShreyank98 (2025). weights [Dataset]. https://www.kaggle.com/datasets/shreyank98/weights/suggestionsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 15, 2025AuthorsShreyank98LicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionDataset
This dataset was created by Shreyank98
Released under MIT
Contents
weights
- kaggle.com
Updated Jul 5, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCitetaqwa km (2024). weights [Dataset]. https://www.kaggle.com/datasets/taqwakm/weightsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJul 5, 2024Authorstaqwa kmLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionDataset
This dataset was created by taqwa km
Released under MIT
Contents
weights
- kaggle.com
Updated Aug 26, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite简-Simplest (2024). weights [Dataset]. https://www.kaggle.com/datasets/simplestzyp/weights/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 26, 2024Authors简-SimplestLicensehttps://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html
DescriptionDataset
This dataset was created by 简-Simplest
Released under GPL 3
Contents
weights
- kaggle.com
Updated Feb 18, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHIROFUMI OHTA (2021). weights [Dataset]. https://www.kaggle.com/datasets/kami2suukyi/weights/codeCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedFeb 18, 2021AuthorsHIROFUMI OHTADescriptionDataset
This dataset was created by HIROFUMI OHTA
Contents
FacebookTwitterEmailPhysical Exercise Recognition Dataset
Dataset that represents the terminal positions of some physical exercises.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Note:
Because this dataset has been used in a competition, we had to hide some of the data to prepare the test dataset for the competition. Thus, in the previous version of the dataset, only train.csv file is existed.
Content
This dataset represents 10 different physical poses that can be used to distinguish 5 exercises. The exercises are Push-up, Pull-up, Sit-up, Jumping Jack and Squat. For every exercise, 2 different classes have been used to represent the terminal positions of that exercise (e.g., “up” and “down” positions for push-ups).
Collection Process
About 500 videos of people doing the exercises have been used in order to collect this data. The videos are from Countix Dataset that contain the YouTube links of several human activity videos. Using a simple Python script, the videos of 5 different physical exercises are downloaded. From every video, at least 2 frames are manually extracted. The extracted frames represent the terminal positions of the exercise.
Processing Data
For every frame, MediaPipe framework is used for applying pose estimation, which detects the human skeleton of the person in the frame. The landmark model in MediaPipe Pose predicts the location of 33 pose landmarks (see figure below). Visit Mediapipe Pose Classification page for more details.
https://mediapipe.dev/images/mobile/pose_tracking_full_body_landmarks.png" alt="33 pose landmarks">