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cvlab-stonybrook /crowd-counting:8bd65590

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
image
string
Input image
model
string (enum)
qnrf

Options:

qnrf, nwpu, sh_A, sh_B

Choose which pretrained model to use, each one is trained on a different crowd-counting dataset. Choose between UCF-QNRF (qnrf), NWPU (nwpu), Shanghaitech part A (sh_A) and Shanghaitech part B (sh_B).

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'properties': {'count': {'title': 'Count', 'type': 'integer'},
                'output': {'format': 'uri',
                           'title': 'Output',
                           'type': 'string'}},
 'required': ['output', 'count'],
 'title': 'Output',
 'type': 'object'}