Visionaire
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SKU Recognition
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Nodeflux Visionaire Cloud
Nodeflux Visionaire Cloud

Request Body

Send a POST request to https://api.cloud.nodeflux.io/v1/analytics/clientname-sku-recognition by providing these arguments as application/json.
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{
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"images": [
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"{INSERT_JPEG_IMAGE_AS_BASE64_STRING}"
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]
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}
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Key
Type
Description
images
array
Your .JPG or .JPEG image in base64 using data URI scheme.
Sample request
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{
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"images": [
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"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/
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2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhY
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aHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/"
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]
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}
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Response Body

HTTP Mapping: 202 Accepted
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{
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"job": {
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"id": "a-very-long-job-id",
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"result": {
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"status": "success",
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"analytic_type": "CLIENTNAME_SKU_RECOGNITION",
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"sku_detection":[
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{
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"label": "4",
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"confidence": 0.99992025,
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"bounding_box": {
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"top": 11,
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"left": 466,
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"height": 80,
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"width": 47
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}
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},
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{
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"label": "10",
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"confidence": 0.9997944,
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"bounding_box": {
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"top": 11,
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"left": 424,
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"height": 80,
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"width": 46
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}
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}
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]
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}
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},
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"message": "Job successfully submitted!",
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"ok": true
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}
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Key
Type
Description
id
string
Job ID of your request.
status
string
Status of your success, ongoing, or failed.
analytic_type
string
Type of analytic that your request.
label
string
Class type recognized by the model.
confidence
float
The confidence level of label based on the registered label.
bounding_box
dict
Bounding box coordinate in a ratio of overall image size. top is the top (y) coordinate of the bounding box. left is the left (x) coordinate of the bounding box. left is the height of the bounding box. width is the width of the bounding box.
Last modified 1yr ago
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