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Shadow Detection/Texture Segmentation Computer Vision Dataset

Newey, Charles; Jones, Owain; Dee, Hannah


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    "creators": [
      {
        "affiliation": "University of Southampton", 
        "name": "Newey, Charles"
      }, 
      {
        "affiliation": "MARS, National Oceanography Centre", 
        "name": "Jones, Owain"
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      {
        "affiliation": "Aberystwyth University", 
        "name": "Dee, Hannah"
      }
    ], 
    "description": "<p>A&nbsp;simple computer vision&nbsp;dataset for shadow detection and texture analysis, specifically created to help test shadow detection algorithms (and texture segmentation algorithms)&nbsp;for mobile robots - that is, shadow detection with an&nbsp;<em>active (moving)&nbsp;camera</em>.</p>\n\n<p>The dataset is focused around texture analysis, so each image sequence contains shadows moving in front of a number of various textured surfaces. The dataset contains four main subfolders: &quot;active&quot;, &quot;artificial&quot;, &quot;kondo&quot;, and&nbsp;&quot;static&quot;. The &quot;static&quot; folder contains ground-truthed image sequences of textured surfaces with shadows moving over them,&nbsp;and the &quot;active&quot; folder contains ground-truthed image sequences of a camera travelling over&nbsp;textured surfaces. The &quot;artificial&quot; folder contains a computer-generated 3D scene with computer-generated ground truth, but note that texture is absent from all images within. Finally, the &quot;kondo&quot; folder contains a series of extremely challenging images captured from a webcam mounted to a Kondo bipedal robot. This final dataset is challenging because it contains a high level of noise, flicker and interference from electrical lighting, and the&nbsp;poor&nbsp;lighting conditions make for complex shadows with large penumbrae.</p>", 
    "doi": "10.5281/zenodo.59019", 
    "keywords": [
      "shadow, detection, segmentation, texture, computer, vision"
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    "title": "Shadow Detection/Texture Segmentation Computer Vision Dataset"
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Downloads 281281
Data volume 150.2 GB150.2 GB
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Unique downloads 170170

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