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    Face Grouping

    Detect, track, and group faces across video frames

    Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

    Input

    Enter a URL to a video file

    Drag and drop a video file here, or click to browse

    Required

    URL pointing to video file. Supported formats: MP4, MOV, AVI. Default: undefined

    Minimum face size in pixels to detect. Default: 40

    Confidence threshold for face detection (0.0-1.0). Default: 0.7

    Similarity threshold for grouping faces (0.0-1.0). Default: 0.85

    Detection mode to use. Default: standard

    Extract facial attributes (age, gender, emotion). Default: true

    Extract facial landmarks (eyes, nose, mouth positions). Default: false

    Generate face embedding for identity matching. Default: true

    Generate cropped face images. Default: true

    Process every Nth frame for performance. Default: 1

    Output

    {
    "document_id": "doc_abc123",
    "collection_id": "col_xyz789",
    "source_object_id": "obj_def456",
    "person": {
    "id": "person_12345",
    "confidence": 0.94,
    "appearances": [
    {
    "frame_number": 120,
    "timestamp": 4,
    "bounding_box": {
    "x": 125,
    "y": 80,
    "width": 120,
    "height": 150
    },
    "attributes": {
    "age_estimate": 32,
    "gender": "female",
    "emotion": "happy",
    "confidence": 0.89
    }
    }
    ],
    "embedding": {
    "model": "facenet_v2",
    "dimension": 512,
    "vector": [
    0.12,
    0.34
    ],
    "normalized": true
    },
    "first_appearance": 4,
    "last_appearance": 32.5,
    "total_frames": 28,
    "representative_image_url": "https://storage.example.com/faces/person_12345.jpg"
    },
    "video": {
    "filename": "interview.mp4",
    "width": 1920,
    "height": 1080,
    "fps": 30,
    "duration": 180.5
    }
    }