| --- |
| license: cc-by-nc-sa-4.0 |
| pretty_name: OpenCommand |
| language: |
| - en |
| tags: |
| - baseball |
| - sports-analytics |
| - computer-vision |
| - statcast |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: command_scores_2024 |
| data_files: 2024/command_scores.csv |
| - config_name: command_scores_2025 |
| data_files: 2025/command_scores.csv |
| - config_name: command_scores_2026 |
| data_files: 2026/command_scores.csv |
| - config_name: targets_2024 |
| data_files: 2024/targets.csv.gz |
| - config_name: targets_2025 |
| data_files: 2025/targets.csv.gz |
| - config_name: targets_2026 |
| data_files: 2026/targets.csv.gz |
| --- |
| |
| # OpenCommand |
|
|
| Catcher targets and pitcher command for MLB, inferred from broadcast video. |
|
|
| OpenCommand scores **command** using the pitch location's distance from target. |
|
|
| This dataset contains the 2024/2025/2026 computer vision object detections, every intermediate the pipeline writes, and the resulting **command scores**. The pipeline itself and the full method write-up live at [github.com/tomdoyo/open-command](https://github.com/tomdoyo/open-command). |
|
|
| ## Download |
|
|
| ``` |
| hf download tomdoyo/open-command --repo-type dataset --local-dir data |
| ``` |
|
|
| That puts the tree where the pipeline expects it, so any stage re-runs from the code repo: |
|
|
| ``` |
| python src/solve_glove_locations.py 2026 |
| ``` |
|
|
| One file instead of the whole tree: |
|
|
| ``` |
| hf download tomdoyo/open-command 2026/command_scores.csv --repo-type dataset |
| ``` |
|
|
| ## Data |
|
|
| Each season lives under `<year>/`. |
|
|
| **Keys:** `(game_pk, play_id)` identify a pitch. |
|
|
| Raw detections (in `<year>/raw/`) are produced using YOLO11 glove/ball/strikezone detector models, with postprocessing based on detection confidence. |
|
|
| | File (per season) | One row per | Contents | |
| |---|---|---| |
| | `pbp_info.csv.gz` | pitch | Statcast 9-parameter trajectory, `sz_top`/`sz_bot`, plate location, pitcher, pitch type, and the game_date/type/venue | |
| | `raw/gloveball_tracks/<game_pk>.csv.gz` | frame | glove + ball detections (pixels on screen) | |
| | `raw/strikezone_tracking.csv.gz` | clip | broadcast strikezone detections (pixels on screen) | |
| | `camera_poses.csv.gz` | clip | camera pose (+ vote diagnostics & reprojection accuracies) | |
| | `glove_locations/<game_pk>.csv.gz` | detection | solved glove location (real-world) | |
| | `targets.csv.gz` | clip | naive/inferred targets | |
| | `command_scores.csv` | pitcher, pitch type | n, naive and inferred median miss | |
|
|
| `fangraphs/fg_pitching_<year>.csv.gz` carries the FanGraphs season lines command is validated against. |
|
|
| ## License & citation |
|
|
| Everything here is released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/): use it, build on it, publish with it, with **attribution** (cite OpenCommand) and **not commercially**. |
|
|
| Data derived from MLB broadcast video and Statcast public feeds. MLB and Statcast are trademarks of MLB Advanced Media, L.P.; this project is not affiliated with MLB. |
|
|
| ```bibtex |
| @dataset{kim_opencommand, |
| author = {Kim, Tom}, |
| title = {OpenCommand: open catcher-target and pitcher-command data for MLB}, |
| year = {2026}, |
| url = {https://open-command.com}, |
| note = {https://github.com/tomdoyo/open-command} |
| } |
| ``` |
|
|
