Predict water-hyacinth coverage and bounding boxes for multiple images

POST

/api/v1/water-hyacinth/predict/batch

Last modified:2026-06-22 20:10:30

Maintainer:Not configured

Applies the same inference pipeline used by /predict to a batch of uploaded images. Each item includes the YOLO bounding boxes needed for frontend overlays.

Request

Body Params multipart/form-dataRequired

Responses

🟢200

application/json

Successful Response

Bodyapplication/json

🟠422

Request Example

Shell

JavaScript

Java

Swift

curl --location 'http://13.60.162.222:3000/api/v1/water-hyacinth/predict/batch' \
--form 'files=""'

Response Example

200 - Example 1

[
    {
        "classification": "string",
        "classification_confidence": 0,
        "detected_regions": 0,
        "coverage_percent": 0,
        "detection_confidence": 0,
        "risk_level": "string",
        "image_width": 0,
        "image_height": 0,
        "boxes": [
            {
                "x1": 0,
                "y1": 0,
                "x2": 0,
                "y2": 0,
                "confidence": 0,
                "width": 0,
                "height": 0
            }
        ],
        "image": "string"
    }
]

Modified at 2026-06-22 20:10:30

Predict water-hyacinth coverage and bounding boxes for one image

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