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Update README.md
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README.md
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---
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We introduce a challenging dataset for identifying machine parts from real photos,
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featuring images of 102 parts from a labeling machine. This dataset was developed
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with the complexity of real-world scenarios in mind and highlights the complexity
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orientations. We also use material metadata and apply one of 21 texture materials
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to the objects. We render all images at 512x512 pixels. The real photo set consists of
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raw images captured under varying conditions using different cameras, including
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varied lighting, backgrounds, and environmental factors.
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viewer: false
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## Dataset Description
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We introduce a challenging dataset for identifying machine parts from real photos,
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featuring images of 102 parts from a labeling machine. This dataset was developed
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with the complexity of real-world scenarios in mind and highlights the complexity
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orientations. We also use material metadata and apply one of 21 texture materials
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to the objects. We render all images at 512x512 pixels. The real photo set consists of
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raw images captured under varying conditions using different cameras, including
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varied lighting, backgrounds, and environmental factors.
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### Citation Information
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