Example Json object with info from DeepFace analysis - JSON

gistfile1.txt

{
  "success": true,
  "data": {
    "faces": [
      {
        "face_id": 1,
        "region": {
          "x": 138,
          "y": 102,
          "w": 213,
          "h": 265,
          "left_eye": [
            282,
            205
          ],
          "right_eye": [
            192,
            239
          ],
          "nose": [
            253,
            283
          ],
          "mouth_left": [
            303,
            302
          ],
          "mouth_right": [
            240,
            330
          ]
        },
        "age": {
          "estimated_age": 24
        },
        "gender": {
          "dominant": "Woman",
          "confidence_scores": {
            "Woman": 99.70069885253906,
            "Man": 0.2993118166923523
          }
        },
        "race": {
          "dominant": "white",
          "confidence_scores": {
            "asian": 3.9518544673919678,
            "indian": 3.0617167949676514,
            "black": 1.491036057472229,
            "white": 41.75245666503906,
            "middle eastern": 8.858946800231934,
            "latino hispanic": 40.88399124145508
          }
        },
        "emotion": {
          "dominant": "neutral",
          "confidence_scores": {
            "angry": 13.913759231567383,
            "disgust": 0.0012489286018535495,
            "fear": 5.908020496368408,
            "happy": 0.20079433917999268,
            "sad": 15.03478717803955,
            "surprise": 0.029286524280905724,
            "neutral": 64.91210174560547
          }
        }
      }
    ],
    "summary": {
      "total_faces": 1,
      "analysis_performed": [
        "age",
        "gender",
        "race",
        "emotion"
      ]
    },
    "detection_backend_used": "retinaface"
  },
  "error": null,
  "token_info": {
    "input_tokens": 272,
    "output_tokens": 377
  },
  "image_info": {
    "faces_detected": 1,
    "original_size_bytes": 615413,
    "optimized_size_bytes": 83862
  }
}