Dataset Open Access
Hannah Kerner; Danika Wellington; Kiri Wagstaff; Jim Bell; Heni Ben Amor
{ "description": "<p>These datasets were used for experiments in the paper:<br>\nKerner, H. R., Wellington, D. F., Wagstaff, K. L., Bell III, J. F., Ben Amor, H. Novelty Detection for Multispectral Images with Application to Planetary Exploration. In Proceedings of <em>Innovative Applications in Artificial Intelligence (IAAI/AAAI)</em>, 2019. </p>\n\n<p>The file cae_train.zip contains examples used for training the convolutional autoencoder. Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p>\n\n<p>The file novel_images.zip contains the 332 tiles labeled as "novel" for containing novel geologic features. Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p>\n\n<p>The file cnn_direct.zip contains examples used for fine-tuning pre-trained networks. Images are divided into "vis" (shorter wavelengths) and "nir" (longer wavelengths) and by their label of "typical" vs. "novel." These three-channel images are stored as .jpg files.</p>\n\n<p>All files are named with the following convention: sequence_id_XX*_{R,L}Y_solZZZZ_N.npy where XX* is the sequence ID for the image, {R,L}Y indicates the right (R) or left (L) eye of the camera and the image number in the sequence (Y), and ZZZZ is the four-digit sol (Martian day since the rover began operations) the image was acquired on.</p>\n\n<p>All source images are publicly released Experiment Data Records (EDRs) archived by the Planetary Data System (PDS).</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Arizona State University", "@type": "Person", "name": "Hannah Kerner" }, { "affiliation": "Arizona State University", "@type": "Person", "name": "Danika Wellington" }, { "affiliation": "Jet Propulsion Laboratory", "@type": "Person", "name": "Kiri Wagstaff" }, { "affiliation": "Arizona State University", "@type": "Person", "name": "Jim Bell" }, { "affiliation": "Arizona State University", "@type": "Person", "name": "Heni Ben Amor" } ], "url": "https://zenodo.org/record/1486196", "datePublished": "2018-11-13", "version": "1", "keywords": [ "Mars, novelty detection, space, multispectral" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/cae_train.zip", "encodingFormat": "zip", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/cnn_direct.zip", "encodingFormat": "zip", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/novel_images.zip", "encodingFormat": "zip", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.1486196", "@id": "https://doi.org/10.5281/zenodo.1486196", "@type": "Dataset", "name": "Mars novelty detection Mastcam labeled dataset" }
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