Datasets:
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train/clip_35192 | hf://datasets/hbfreed/Picklebot-50K@b259473586280f319ac1b74c8e0e32d93edea95b/train.tar.gz | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQACa9ZtZGF0AAACrgYF//+q3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
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train/clip_10220 | hf://datasets/hbfreed/Picklebot-50K@b259473586280f319ac1b74c8e0e32d93edea95b/train.tar.gz | "AAAAIGZ0eXBpc29tAAACAGlzb21pc28yYXZjMW1wNDEAAAAIZnJlZQAC6u9tZGF0AAACrgYF//+q3EXpvebZSLeWLNgg2SPu73g(...TRUNCATED) |
Dataset Card for Picklebot50k
50 thousand video clips of balls and strikes from MLB games from the 2016 season through the 2022 season.
Dataset Details
Dataset Description
The dataset consists of roughly 50 thousand video clips of balls and strikes in .mp4 format, resized to 224x224 resolution.
The calculated standard deviation and mean for the dataset are
std: (0.2104, 0.1986, 0.1829)
mean: (0.3939, 0.3817, 0.3314).
- Curated by: Henry Freed
- License: MIT
Dataset Sources [optional]
- Repository: The original project that this dataset was compiled for can be found here on github.
- Demo: The demo for a neural net trained on this dataset can be found here on huggingface spaces.
Uses
The dataset was originally collected to call balls and strikes using neural networks. There are many other potential use cases, but they would almost certainly require relabeling. For more videos and more complete information about each pitch, see Picklebot-2M.
Dataset Structure
The dataset is structured as .tar files of the train, val, and test splits. The labels are contained in .csv files. The .csvs are structured as follows:
"filename.mp4",label
where the label is 0 for balls and 1 for strikes.
Source Data
The source data were scraped from Baseball Savant's Statcast Search. It's a pretty powerful search page, and a lot of fun to play around with.
Data Collection and Processing
After downloading the videos, they were cropped from 1280x720 at 60fps to the middle 600x600 pixels at 60fps. Finally, they were downsampled to 224x224 resolution at 15 fps (this can all be done using one ffmpeg command). Some of the longer clips where there was a lot of noise (shots of the crowd, instant replays, etc.) were trimmed (mostly by hand) down to a more manageable length.
Who are the source data producers?
Baseball Savant and MLB/the broadcasters (whoever it is) originally created the videos.
Bias, Risks, and Limitations
It's important to note that only balls and called strikes were collected. No swinging strikes, foul balls, hit by pitches, or anything else are included in the dataset. Additionally, most pitchers and batters are right handed, and nothing was done to try and balance that in this dataset.
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