sonar
Datasets
All datasets matching “sonar”Sonarsweep_datasetSONAR
SONAR
Benchmark-ready packaging of the SONAR synthetic-audio detection evaluation set
(arXiv 2410.04324), for speech anti-spoofing and
synthetic / deepfake voice detection.
Overview
SONAR is a binary-classification benchmark: bonafide (genuine human speech)
vs. spoof (AI-synthesized speech). The spoof side aggregates clips from eight modern
speech-synthesis systems, deliberately spanning architectures and providers so that a
detector cannot win by memorising one… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/SONAR.dave_sonar
OA-Stereo Opti-Acoustic Underwater Stereo Dataset
Overview
This dataset accompanies the paper:
OA-Stereo: Self-Supervised Opti-Acoustic Stereo for Robust 3D Perception of Underwater Vehicles (Accepted by IEEE Robotics and Automation Letters (RA-L), 2025)
This dataset is collected based on the DAVE underwater robotics platform, and provides calibrated optical stereo images and forward-looking sonar data for studying opti-acoustic stereo perception, dense depth estimation… See the full description on the dataset page: https://huggingface.co/datasets/ASGFDSgadsfgads/dave_sonar.sonar-rock-mineThe Sonar Rock Mine is a well-known benchmark dataset in the field of machine learning and pattern recognition, originally collected for the purpose of distinguishing between mines (M) and rocks (R) using sonar signals.
Dataset Overview:
File: raw_sonar.csv
Number of Features: 60 continuous numerical values per instance
Target Label: One class label at the end of each row, either:
M → Mine (target object: simulated sea mine)
R → Rock (non-mine object)
Total Instances: The dataset… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/sonar-rock-mine.sonar
Sonar
The Sonar dataset from the UCI ML repository.
Dataset to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.
Configurations and tasks
Configuration
Task
Description
sonar
Binary classification
Is the sonar detecting a rock?
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/sonar")["train"]
dave_sonar
OA-Stereo Opti-Acoustic Underwater Stereo Dataset
Overview
This dataset accompanies the paper:
OA-Stereo: Self-Supervised Opti-Acoustic Stereo for Robust 3D Perception of Underwater Vehicles (Accepted by IEEE Robotics and Automation Letters (RA-L), 2025)
This dataset is collected based on the DAVE underwater robotics platform, and provides calibrated optical stereo images and forward-looking sonar data for studying opti-acoustic stereo perception, dense depth… See the full description on the dataset page: https://huggingface.co/datasets/c237814486/dave_sonar.