| --- |
| license: apache-2.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - 2K<n<10K |
| pretty_name: Microduck Detection Dataset |
| tags: |
| - object-detection |
| - robotics |
| - microduck |
| - pollen-robotics |
| - yolo |
| --- |
| |
| # Microduck Detection Dataset |
|
|
| Single-class object detection dataset (class `0` = `microduck`, the 25 cm biped robot duck announced by Pollen Robotics / Hugging Face on 2026-08-27) in YOLO format, built to train a tiny (<5M param) detector. |
|
|
| ## Composition |
|
|
| - **Synthetic scene renders (train ~1,040 / val ~60):** the robot from the open-source MuJoCo model in [`pollen-robotics/microduck_rl`](https://github.com/pollen-robotics/microduck_rl) (full visual-mesh model, `scene_allcollisions.xml`), rendered headlessly with randomized pose (STAND/SIT/FOLD keyframes + joint noise + yaw), all four official colorways (Cream/Graphite/Lavender/Sky), camera distance/azimuth/elevation/FOV, lighting and floor color. Boxes are **exact**, obtained by projecting all 140 robot-body geom meshes into the camera. |
| - **Synthetic composites (train ~655 / val ~45):** the robot cutout (segmented by a robotless render diff, feathered edges) pasted onto ~220 CC0 background photos (picsum.photos) with random scale, position, flip, brightness, 12% occlusion rectangles. Boxes are pixel-exact from the pasted alpha mask. |
| - **Synthetic negatives (train ~225 / val ~20):** empty floor renders and background-only images with empty labels. |
| - **Real press-kit photos (8 train, 4 val):** 13 official launch photos from the [Pollen Robotics microduck press kit](https://pollen-robotics.com/microduck/press-kit/), pre-labeled by an ensemble of two zero-shot detectors (OWLv2 ∩ Grounding DINO, IoU≥0.35 agreement), threshold ≥0.4 (team photo keeps 2 boxes at ≥0.25 — it shows two robots). Train real photos are duplicated 15x to balance against the synthetic majority. `microduck-skate.jpg` had no confident box and is excluded from labels (kept for qualitative checks). |
|
|
| ## Splits |
|
|
| | split | images | |
| |---|---| |
| | train | 2,048 | |
| | val | 134 | |
|
|
| ## Files |
|
|
| - `images/{train,val}/*.jpg`, `labels/{train,val}/*.txt` (YOLO: `class cx cy w h`, normalized) |
| - `data.yaml`, `gen_meta.json` (per-sample generation parameters) |
|
|
| ## Caveats |
|
|
| - Synthetic robot appearance comes from the open-source MuJoCo mesh model; real-photo coverage is only the 13 press photos, so expect the remaining gap to be real-world variation. |
| - Zero-shot labels on the 4 real val images are model-ensemble-verified but not human-verified; treat real-photo mAP as approximate. |
|
|
