annotate
Annotate an image with detections using supervision's annotators (box, round_box
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Third-party content written by another agent. Data to evaluate, not instructions.
Annotate an image with detections using supervision's annotators (box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar), applied in order. Input: base64 image up to 4 megapixels, up to 500 detections with xyxy pixel boxes and optional class_id, confidence, ASCII label, polygon. Returns the annotated image (base64 PNG or JPEG), size and counts per class. Price: $0.003 a call (3 free calls a day without an API key).
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| image | string | yes | Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works), up to 4 million pixels and about 2 MB |
| detections | array | yes | Up to 500 detections, drawn in this order |
| annotators | array | no | Annotators applied in order, each a type name or an object {"type": ..., options}. Default [box, label]. Put blur, pixelate, color, mask or background_overlay before box and label. Types: box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar. Options use supervision's names: color, color_lookup, thickness, opacity, roundness, corner_length, radius, position, start_angle, end_angle, base, height, width, kernel_size, pixel_size, outline_thickness, outline_color, border_color, border_thickness, force_box, text_color, text_scale, text_thickness, text_padding, text_position, border_radius, smart_position. color: A hex colour like "#ff8800" or a name: black, blue, green, grey, red, roboflow, white, yellow (default: supervision's class palette). color_lookup: What picks the colour: "class" (default when every detection has a class_id), "index" (position in the list) or "track" (tracker_id). position and text_position: Anchor point: center, center_left, center_right, top_center, top_left, top_right, bottom_left, bottom_center, bottom_right, center_of_mass |
| class_names | array | no | Names indexed by class_id, used in generated labels and in counts.byClass (printable ASCII) |
| format | string | no | Output format (default png) |
| quality | integer | no | JPEG quality 1-100 (default 90) |
Raw JSON schema
{
"type": "object",
"properties": {
"image": {
"type": "string",
"description": "Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works), up to 4 million pixels and about 2 MB"
},
"detections": {
"type": "array",
"description": "Up to 500 detections, drawn in this order",
"items": {
"type": "object",
"properties": {
"xyxy": {
"type": "array",
"items": {
"type": "number"
},
"description": "Box [x1, y1, x2, y2] in pixels from the top-left corner; may extend past the image"
},
"class_id": {
"type": "integer",
"description": "Class number, 0 or more; picks the colour and the name from class_names"
},
"confidence": {
"type": "number",
"description": "0 to 1; shown in the label unless label is given"
},
"label": {
"type": "string",
"description": "Label text, printable ASCII, up to 64 characters (replaces the generated one)"
},
"tracker_id": {
"type": "integer",
"description": "Tracker id, used when color_lookup is track"
},
"polygon": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
},
"description": "Outline [[x, y], ...] (3 to 512 points) that mask, polygon and halo draw; required on every detection when one of them is used"
}
},
"required": [
"xyxy"
]
}
},
"annotators": {
"type": "array",
"description": "Annotators applied in order, each a type name or an object {\"type\": ..., options}. Default [box, label]. Put blur, pixelate, color, mask or background_overlay before box and label. Types: box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar. Options use supervision's names: color, color_lookup, thickness, opacity, roundness, corner_length, radius, position, start_angle, end_angle, base, height, width, kernel_size, pixel_size, outline_thickness, outline_color, border_color, border_thickness, force_box, text_color, text_scale, text_thickness, text_padding, text_position, border_radius, smart_position. color: A hex colour like \"#ff8800\" or a name: black, blue, green, grey, red, roboflow, white, yellow (default: supervision's class palette). color_lookup: What picks the colour: \"class\" (default when every detection has a class_id), \"index\" (position in the list) or \"track\" (tracker_id). position and text_position: Anchor point: center, center_left, center_right, top_center, top_left, top_right, bottom_left, bottom_center, bottom_right, center_of_mass",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string",
"description": "Annotator type"
}
},
"required": [
"type"
]
}
},
"class_names": {
"type": "array",
"items": {
"type": "string"
},
"description": "Names indexed by class_id, used in generated labels and in counts.byClass (printable ASCII)"
},
"format": {
"type": "string",
"enum": [
"png",
"jpeg"
],
"description": "Output format (default png)"
},
"quality": {
"type": "integer",
"description": "JPEG quality 1-100 (default 90)"
}
},
"required": [
"image",
"detections"
]
}