Perform a comprehensive dental analysis.

Guidelines for the image to be uploaded

1. Technical Requirements

• Format: JPG or PNG only.
• File Size: Up to 10 MB.
• Dimensions: Minimum 1000x1000 pixels.

2. Uploaded Image Requirements

• Pose: Full-face photo with a natural smile.
• Jaw Position: No protruding or pushed-forward lower jaw.
• Angle: Close-up face, centered and facing the camera.
• Lighting: Adequate and bright lighting is essential.

Acceptable/Unacceptable Image Example:

Return Format (after polling completed)

The API will return an object containing the following:

1. smile_curve

Generate the smile curve of the upper teeth.

Object containing:

• img_url: String - A URL to the processed image featuring a drawn smile curve.
• points: Array - An array of sequential points indicating the curve. Points are formatted as [[x1, y1], [x2, y2], ...].

Image Example for Points Visualization:

Example:

{
  "img_url": "https://example.com/smile_curve.jpg",
  "points": [
    [500, 1000],
    [502, 1001],
    [504, 1003]
  ]
}

2. smile_curve_with_underlines

Generate the smile curve of the upper teeth represented as underlines beneath the upper teeth.

Object containing:

• img_url: String - A URL to the processed image featuring a drawn smile curve underlines.
• points: Array - An array of sequential points indicating the underlines. Points are formatted as [[x1, y1], [x2, y2], ...].

Image Example for Points Visualization:

Example:

{
  "img_url": "https://example.com/smile_curve_underlines.jpg",
  "points": [
    [480, 980],
    [520, 981],
    [550, 990],
    [570, 992]
  ]
}

3. tooth_segmentation

Segment teeth in the given image.

Object containing:

• img_url: String - The URL of the image where the teeth area is highlighted with color.
• detected_tooth_num: Integer - The number of detected teeth.
• tooth_mask_min_offset: Array - The offset (x, y coordinates) of the upper left point of the tooth mask. Format: [x, y].
• tooth_mask: 2D Array - The truncated tooth mask starts at the tooth_mask_min_offset. The mask is a list of lists, where -1 represents non-teeth regions and each index >= 0 represents different teeth.

Image Example for mask Visualization:

Example:

{
  "img_url": "https://example.com/tooth_segmentation.jpg",
  "detected_tooth_num": 3,
  "tooth_mask_min_offset": [500, 1000],
  "tooth_mask": [
    [-1, -1, 1, 1, -1, -1],
    [0, 0, 1, 1, 2, 2],
    [0, 0, -1, -1, 2, 2],
    [-1, -1, -1, -1, 2, 2]
  ]
}

4. central_incisor_wl_ratio

Calculate width to height ratio of incisors 11 and 21.

Object containing:

• ratio_11: Number - The width-to-length ratio of the upper right central incisor (tooth #11).
• ratio_21: Number - The width-to-length ratio of the upper left central incisor (tooth #21).

Example:

{
  "ratio_11": 0.81,
  "ratio_21": 0.83
}

5. incisal_plane

Detect and visualize the incisal plane.

Object containing:

• img_url: String - A URL to the processed image featuring a drawn incisal plane.
• points: Array - An array of the end points of the incisal plane. Points are formatted as [[x1, y1], [x2, y2]].

Image Example for Points Visualization:

Example:

{
  "img_url": "https://example.com/incisal_plane.jpg",
  "points": [
    [500, 1000],
    [520, 1001]
  ]
}

6. interdental_width_proportion

Calculate the interdental width proportion - Get the width ratio of teeth 14-24 to teeth 11, 21.

Object containing:

• ratio_to_11: Array of 8 numbers - An array of width ratios for teeth 14-24 relative to tooth #11. The array represents teeth in order: [tooth_14, tooth_13, tooth_12, tooth_11, tooth_21, tooth_22, tooth_23, tooth_24]. Each value indicates how wide that tooth is compared to tooth #11 (where tooth #11 = 1.0).
• ratio_to_21: Array of 8 numbers - An array of width ratios for teeth 14-24 relative to tooth #21. Same format as ratio_to_11, but with tooth #21 as the reference (tooth #21 = 1.0).

Example:

{
  "ratio_to_11": [0.36, 0.6, 0.69, 1, 0.96, 0.72, 0.54, 0.39],
  "ratio_to_21": [0.37, 0.62, 0.71, 1.03, 1, 0.75, 0.56, 0.4]
}

7. mouth_segmentation

Segment the mouth area in the given image.

Object containing:

• img_url: String - The URL of the image where the mouth area is highlighted with color.
• mouth_mask: 2D Array - A 2D array representing the segmentation mask of the mouth region. The mask uses binary values where 1 represents the mouth area and 0 represents non-mouth regions. This is a list of lists where each inner list represents a row of pixels.

Example:

{
  "img_url": "https://example.com/mouth_segmentation.jpg",
  "mouth_mask": [
    [0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 0, 1, 1, 1, 1, 1, 0, 0],
    [0, 1, 1, 1, 1, 1, 1, 1, 0],
    [0, 0, 1, 1, 1, 1, 1, 0, 0],
    [0, 0, 0, 1, 1, 1, 0, 0, 0]
  ]
}