November 13, 2018 Dataset Open Access

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

DCAT Export

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    <dct:title>Mars novelty detection Mastcam labeled dataset</dct:title>
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    <dct:description>&lt;p&gt;These datasets were used for experiments in the paper:&lt;br&gt; Kerner, 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.&amp;nbsp;In Proceedings of&amp;nbsp;&lt;em&gt;Innovative Applications in Artificial Intelligence (IAAI/AAAI)&lt;/em&gt;, 2019.&amp;nbsp;&lt;/p&gt; &lt;p&gt;The file cae_train.zip contains examples used for training the convolutional autoencoder. Each example is a Numpy array (.npy) of size 64x64x6 pixels.&lt;/p&gt; &lt;p&gt;The file novel_images.zip contains the 332 tiles labeled as &amp;quot;novel&amp;quot; for containing novel geologic features.&amp;nbsp;Each example is a Numpy array (.npy) of size 64x64x6 pixels.&lt;/p&gt; &lt;p&gt;The file cnn_direct.zip contains examples used for fine-tuning pre-trained networks. Images are divided into &amp;quot;vis&amp;quot; (shorter wavelengths) and &amp;quot;nir&amp;quot; (longer wavelengths) and by their label of &amp;quot;typical&amp;quot; vs. &amp;quot;novel.&amp;quot; These three-channel images are stored as .jpg files.&lt;/p&gt; &lt;p&gt;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.&lt;/p&gt; &lt;p&gt;All source images are publicly released&amp;nbsp;Experiment Data Records (EDRs) archived by&amp;nbsp;the Planetary Data System (PDS).&lt;/p&gt;</dct:description>
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