{
  "_id": {
    "$oid": "652bbe8d115ff300cbd113e6"
  },
  "network_id": "nanodet_plus_m_x1.5_416_imx500v1_mctq_Keras",
  "date_inserted": {
    "$date": {
      "$numberLong": "1697371203072"
    }
  },
  "network_file": "/data/projects/swat/network_database/Tensorflow2/internal/nanodet-plus-m/nanodet-plus-m-x1.5-416_quant.keras",
  "convpy_cli_supp": "",
  "name": "nanodet_plus_m_x1.5_mctq",
  "framework": "Tensorflow2",
  "accuracy_measurements": [
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    {
      "top1": 0.3316
    }
  ],
  "background": false,
  "dataset_id": "CocoPostprocessNANODET",
  "preprocess": [
    {
      "ResizeBilinear": {
        "name": "Resize",
        "new_height": 416,
        "new_width": 416
      }
    },
    {
      "RGBtoBGR": {
        "name": "RGBtoBGR"
      }
    },
    {
      "Normalize": {
        "name": "Normalization",
        "mean": [
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        "std": [
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      }
    }
  ],
  "task_type": "Object_Detection",
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  "sdsp_conv_cli_supp": "--no-input-persistency",
  "quantization_type": "MCTQ"
}