Dataset 1

• The dataset was collected on October 10, 2018, and consists of 658 samples. These samples are divided into 620 for training and 38 for testing.
• It's primarily utilized for direct image-to-depth conversion via deep learning, including methods like fringe-to-depth and speckle-to-depth.
• The depth unit is currently in pixels. To convert it to millimeters, divide by 4.40235316045.
• [Download link]

Dataset 2

• The dataset was collected on April 12, 2021, and consists of 1523 samples.
• The data is used for fringe-to-depth, speckle-to-depth, and fringe-to-phase frameworks
• Depth unit is in pixel, divide by 2.86334144363 for mm quantitative measurement.
• Sample code and system calibration parameters for fringe-to-phase framework will be added later.
• [Download link]