Datasets:
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README.md
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# Dataset Card for Picklebot50k
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<!-- Provide a quick summary of the dataset. -->
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50 thousand video clips of balls and strikes from MLB games from the 2016 season through the 2022 season
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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The calculated standard deviation and mean for the dataset are
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std: (0.2104, 0.1986, 0.1829)
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mean: (0.3939, 0.3817, 0.3314).
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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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).
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[Baseball Savant](https://baseballsavant.mlb.com/) and MLB/the broadcasters originally created the
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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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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---
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license: mit
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task_categories:
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- video-classification
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tags:
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- baseball
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- sports
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- video-classification
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for Picklebot50k
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<!-- Provide a quick summary of the dataset. -->
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50 thousand video clips of balls and strikes from MLB games from the 2016 season through the 2022 season.
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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The dataset consists of roughly 50 thousand video clips of balls and strikes in .mp4 format, resized to 224x224 resolution.
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The calculated standard deviation and mean for the dataset are
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std: (0.2104, 0.1986, 0.1829)
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mean: (0.3939, 0.3817, 0.3314).
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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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.
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[Baseball Savant](https://baseballsavant.mlb.com/) and MLB/the broadcasters (whoever it is) originally created the videos.
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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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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