{"url":"/dataset/pped","name":"PPED","full_name":"Periodic Phenomena Event-based Dataset","description_markdown":"# PPED: Periodic Phenomena Event-based Dataset\r\n\r\nThe dataset features 12 one-second sequences of periodic phenomena (rotation - `01-06`, flicker - `07-08`, vibration - `09-10` and movement - `11-12`) with GT frequencies ranging from 3.2Hz up to 2000Hz in file formats `.raw` and `.hdf5`.\r\n\r\nData capture demonstration: [Youtube video](https://youtu.be/QlfQtvbaYy8)\r\n\r\n<img src=\"https://github.com/user-attachments/assets/19ab0eb9-a2b1-4e29-8631-6f18ced515a1\" alt=\"Ground-truth frequencies of experiments\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n## Rotation\r\n### 01 - High Contrast Line - 20Hz\r\nData visualised:\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=wIrkA8E9mU0)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=97ZCfkCUYow)\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=g8umk0LYKbA)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/f7e53d63-5c10-4d68-a89a-57f8fc02e76f\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 02 - Velcro (front view) - 21.1Hz\r\nData visualised:\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=LzZWIQTxicg)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=ZXUVfbVnecA)\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=yIZIeimYJkg)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/3c53dd96-8658-4578-8bb3-dc9c2bdcc149\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 03 - Velcro (side view) - 26.3Hz\r\nData visualised:\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=qwEI7vYnD_I)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=eJjkLXgL93k)\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=C3gk-qhQhUc)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/8d53593a-336e-4163-8d75-d9ccfda3e85c\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 04 - High Contrast Dot - 19.6Hz\r\nData visualised:\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=w60AZYyNgWk)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=sBFWObrqTRw)\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=_X_kiPSN3eA)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/2bcb7bec-0fdf-4075-bb46-03d211df3a13\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 05 - Hand Spinner - 4.7Hz\r\nData visualised:\r\n\r\n- at 0.3x playback (100 fps) - [link](https://www.youtube.com/watch?v=dQoZ3sYXSMk)\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=Ts-PXfplstc)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=XqCd8Bcq3yI)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/cf02aa50-50c1-4acb-b621-6797d7d71fd5\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 06 - Spider - 3.2Hz\r\nData visualised:\r\n\r\n- at 0.3x playback (100 fps) - [link](https://www.youtube.com/watch?v=0fPIs3eReoo)\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=tfkJPhfbH0M)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=OHjNZRowd8g)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/a45201ad-15e6-4e72-b72f-5b7bc938be49\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n## Flicker\r\n### 07 - LED - 2000Hz\r\nData visualised:\r\n\r\n- at 0.003x playback (10000 fps) - [link](https://www.youtube.com/watch?v=7oOmLMSd83w)\r\n\r\n- at 0.0006x playback (50000 fps) - [link](https://www.youtube.com/watch?v=fQmqazVNV-E)\r\n\r\n- at 0.0003x playback (100000 fps) - [link](https://www.youtube.com/watch?v=p2XcjC8q48U)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/8f555d36-7b2a-4442-883e-e77a7612f48d\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 08 - Screen - 240Hz\r\nData visualised:\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=Jwgj10i3t7s)\r\n\r\n- at 0.003x playback (10000 fps) - [link](https://www.youtube.com/watch?v=ozFZe9bQNm8)\r\n\r\n- at 0.0006x playback (50000 fps) - [link](https://www.youtube.com/watch?v=aQpxOLzbDCo)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/c0897771-05ce-41a8-9ae7-20d657330513\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n## Vibration\r\n### 09 - Speaker - 98Hz\r\nData visualised:\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=moU6-tnDoP8)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=Yna8W5JxCm4)\r\n\r\n- at 0.006x playback (5000 fps) - [link](https://www.youtube.com/watch?v=yRzxBWj3Nyk)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/75581d3e-9664-4794-bd7f-aa4fbcb4aa72\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 10 - Motor - 40Hz\r\nData visualised:\r\n\r\n- at 0.3x playback (100 fps) - [link](https://www.youtube.com/watch?v=_Y2NPvgJ1TY)\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=bcsYxeoVlKQ)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=7YLkZ4aHVbg)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/4e8a26c6-43d7-4c02-a095-2341f3f79d40\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n## Movement\r\n### 11 - Chain Side - 28.7Hz\r\nData visualised:\r\n\r\n- at 0.3x playback (100 fps) - [link](https://www.youtube.com/watch?v=k2zHmqUwGGc)\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=Bc_3LB_H-SA)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=1NmrYGEQFLk)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/5816c651-509c-4fc7-9d56-21b8c5d97ea6\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">\r\n\r\n### 12 - Chain Top - 23Hz\r\nData visualised:\r\n\r\n- at 0.3x playback (100 fps) - [link](https://www.youtube.com/watch?v=Yus5EU4jTvs)\r\n\r\n- at 0.06x playback (500 fps) - [link](https://www.youtube.com/watch?v=k46kagKaVos)\r\n\r\n- at 0.03x playback (1000 fps) - [link](https://www.youtube.com/watch?v=c8EY6fqjG6s)\r\n\r\n250ms of the data visualised in XYTime space:\r\n\r\n<img src=\"https://github.com/user-attachments/assets/a3ed43cd-def1-4f8e-9e2f-0edee9bd1f07\" alt=\"Data visualised in XYTime space\" style=\"width: 600px; max-width: 100%;\">","description_withheld":null,"homepage":"https://github.com/JackPieCZ/EE3P3D/tree/main/dataset","introduced_date":"2024-08-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/ee3p3d-event-based-estimation-of-periodic","title":"EEPPR: Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D","first_author":"Jakub Kolář","url":null},"license":{"name":"GPL-3.0","url":"https://github.com/JackPieCZ/EE3P3D/blob/main/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["PPED"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}