Error getting native address of native library: task_vision_jni

I tried to export tflite using a custom model trained by yolov8 and run it on my Android app, but I got an error

I am confident that I will be able to use the model provided by the hub

MetaData

Metadata populated:
{
  "name": "ObjectDetector",
  "description": "Identify which of a known set of objects might be present and provide information about their positions within the given image or a video stream.",
  "subgraph_metadata": [
    {
      "input_tensor_metadata": [
        {
          "name": "image",
          "description": "Input image to be detected.",
          "content": {
            "content_properties_type": "ImageProperties",
            "content_properties": {
              "color_space": "RGB"
            }
          },
          "process_units": [
            {
              "options_type": "NormalizationOptions",
              "options": {
                "mean": [
                  127.5
                ],
                "std": [
                  127.5
                ]
              }
            }
          ],
          "stats": {
            "max": [
              1.0
            ],
            "min": [
              -1.0
            ]
          }
        }
      ],
      "output_tensor_metadata": [
        {
          "name": "location",
          "description": "The locations of the detected boxes.",
          "content": {
            "content_properties_type": "BoundingBoxProperties",
            "content_properties": {
              "index": [
                1,
                0,
                3,
                2
              ],
              "type": "BOUNDARIES"
            },
            "range": {
              "min": 2,
              "max": 2
            }
          },
          "stats": {
          }
        }
      ],
      "output_tensor_groups": [
        {
          "name": "detection_result",
          "tensor_names": [
            "location",
            "category",
            "score"
          ]
        }
      ]
    }
  ],
  "min_parser_version": "1.2.0"
}

Associated file(s) populated:
file name:  temp_meta.txt
file content:
b"{'description': 'Ultralytics best model (untrained)', 'author': 'Ultralytics', 'license': 'AGPL-3.0 https://ultralytics.com/license', 'date': '2023-08-05T07:56:12.447707', 'version': '8.0.147', 'stride': 32, 'task': 'detect', 'batch': 1, 'imgsz': [320, 320], 'names': {0: 'EXP', 1: 'GoldCoin', 2: 'RedDharma'}}"
file name:  mobilenet_labels.txt
file content:
b'EXP\nGoldCoin\nRedDharma\n'

• i verify that the application has sufficient permissions and can read the file properly
• 'org.tensorflow:tensorflow-lite-task-vision:0.4.4'

Start by reproducing the Android failure with org.tensorflow:tensorflow-lite-task-vision:0.4.4, comparing the custom YOLOv8-exported model with the hub model and the supplied metadata and associated files. Done means identifying why the native library address cannot be obtained for the custom model and validating a fix or clear diagnosis.