A dataset of 7,721 synthetic side-scan sonar images of two target classes, ship and plane, generated with S3Simulator and described in the paper cited below. It is intended as a benchmark for underwater image analysis when labeled real sonar data is scarce. The mine class is released separately in a companion dataset generated with S3Simulator+. intensity (the three channels are identical apart from JPEG rounding, with a maximum difference of 2 levels out of 255). Load as one channel, for example Image.open(path).convert("L"). - metadata/filenamemap.csv maps each released file name to its original file name. - checksums.sha256 holds a SHA-256 hash for every image. Fixed splits are provided…
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Center for AI in Computer Vision
caicv
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Published tasks: Image classification.
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