Gym-Exercise
Gym-Exercise-Video-Analysis
Gym-Exercise-Video-Analysis
Gym-Exercise-Video-Analysis is a specialized multimodal video understanding dataset comprising 500 annotated gym workout and exercise clips. It is designed for fine-tuning and evaluating Video-Language Models (Video-LLMs), visual fitness coaches, and temporal exercise analysis systems. Each entry pairs exercise videos and extracted frame sequences with in-depth textual descriptions, biomechanical observations, form evaluations, and routine tracking.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Gym-Exercise-Video-Analysis.gym-exercises
Gym Exercises
A video library of gym/fitness exercise demonstrations, originally packaged as HTML5-compatible assets (exercises_html5_videos.tar) for a workout-tracking web app. Each exercise is numbered by an ID and provided in up to three encodings for browser compatibility: .mp4, .webm, and .ogv.
1,042 video files, ~2.3 GB, split by performer gender and video resolution/size tier:
male/original/<id>.<ext> # 298 files — full-size/original quality
male/small/<id>.<ext>… See the full description on the dataset page: https://huggingface.co/datasets/webbrain-one/gym-exercises.gym-exercise-landmarksGYM-Exercisegym_members_exercise_tracking_synthetic_dataREADME - shylee presenty
The project is based on the “Gym Members Exercise Tracking Synthetic Data” dataset from Kaggle, which contains approximately 1,800 records. Each record represents an individual gym member and includes around 15 physical and behavioral attributes.
The physiological features include:
Age
Gender
Weight
Height
BMI
Body fat percentage
Heart rate measurements (Resting / Avg / Max BPM)
In addition, the dataset includes workout-related features such as:
Session duration… See the full description on the dataset page: https://huggingface.co/datasets/shylee1/gym_members_exercise_tracking_synthetic_data.gym_exercise_data_translated