task_type: classification
#dataset_category: imagenet
#calibration_dataset: imagenet
#input_dataset: imagenet
dataloader:
  name: image_classification_dataloader
  path: ./data/datasets/imagenetv2c/val
postprocess: {}
preprocess:
  resize: 256
  crop: 224
  data_layout: NCHW
  reverse_channels: false
  backend: pil
  interpolation: null
  resize_with_pad: false
  pad_color: 0
session:
  session_name: onnxrt
  target_device: null
  input_optimization: false
  input_data_layout: NCHW
  input_mean:
  - 123.675
  - 116.28
  - 103.53
  input_scale:
  - 0.017125
  - 0.017507
  - 0.017429
  model_path: resnet50.onnx
  model_id: cl-mh6000
  input_details: null
  output_details: null
  num_inputs: 1
model_info:
  metric_reference:
    accuracy_top1%: 76.15
  compact_name: resNet50
  shortlisted: true