November 13, 2018 Dataset Open Access

Hannah Kerner; Danika Wellington; Kiri Wagstaff; Jim Bell; Heni Ben Amor

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    "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.&nbsp;In Proceedings of&nbsp;<em>Innovative Applications in Artificial Intelligence (IAAI/AAAI)</em>, 2019.&nbsp;</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 &quot;novel&quot; for containing novel geologic features.&nbsp;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 &quot;vis&quot; (shorter wavelengths) and &quot;nir&quot; (longer wavelengths) and by their label of &quot;typical&quot; vs. &quot;novel.&quot; 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&nbsp;Experiment Data Records (EDRs) archived by&nbsp;the Planetary Data System (PDS).</p>", 
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    "title": "Mars novelty detection Mastcam labeled dataset", 
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    "publication_date": "2018-11-13", 
    "creators": [
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        "affiliation": "Arizona State University", 
        "name": "Hannah Kerner"
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        "affiliation": "Arizona State University", 
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        "affiliation": "Arizona State University", 
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