# DESCRIPTION OF THE DATASET

This dataset was created for real-time fitness exercise classification and includes a diverse mix of synthetic and real-world videos. It focuses on four common exercises:

- Squat
- Push-up
- Barbell Bicep Curl
- Shoulder Press
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# DEMO OF MY PROJECT THAT USED THIS DATASET (AI PERSONAL TRAINER):
[![Watch the video](https://img.youtube.com/vi/GPmDPB1bSmc/hqdefault.jpg)](https://www.youtube.com/watch?v=GPmDPB1bSmc)

GITHUB PROJECT (with implementation):
https://github.com/RiccardoRiccio/Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting
The dataset was compiled from three main sources:

 📁 Kaggle Workout/Exercises Video Dataset

- Real-world videos of expert trainers performing various exercises
- Only four exercises were selected
- ~25 videos per class were curated, ensuring balanced representation
- Supplemented with additional online videos to increase variation in lighting, angle, and environment

🧍 InfiniteRep Dataset

- Synthetic videos of human-like avatars performing exercises
- 100 videos per class selected
- Offers control over pose variation, camera angles etc.
- Enhances model robustness and dataset size


🌐 Additional Online Videos

- Sourced from Pexels, Pixabay, Shutterstock, etc.
- Added to reflect how users might perform exercises in home or gym environments
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# Remember to upvote the dataset!


---
license: cc-by-nc-sa-4.0
task_categories:
- video-classification
- image-classification
- image-segmentation
language:
- en
tags:
- gym
- exercise
- biology
---