File size: 839 Bytes
e89c268 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | 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: vit_b_32.onnx
model_id: cl-mh6031
input_details: null
output_details: null
num_inputs: 1
model_info:
metric_reference:
accuracy_top1%: 75.912
model_shortlist: 10
compact_name: vit-b-32-224x224
shortlisted: true
recommended: false
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