Datasets › CADDY
CADDY
- An underwater dataset collected from several field trials within the EU FP7 project “Cognitive autonomous diving buddy (CADDY)”, where an Autonomous Underwater Vehicle (AUV) was used to interact with divers and monitor their activities.
- Purpose: Studying and boosting object classification, segmentation and human pose estimation tasks, where divers use the CADDIAN gesture-based language.
- Data were recorded in different environmental conditions that cause various image distortions unique to underwater scenarios, i.e., low contrast, color distortion, and haze.
- Dataset characteristics (gesture-related):
- 9191 annotated stereo pairs were gathered for 16 classes (gesture types), i.e., 18,382 total samples.
- 7190 true negative stereo pairs (14,380 samples) that contain background scenery and divers without gesturing.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CADDY
1 variant name, as the archive lists them.
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