The Object Detection API from Eden AI — 1 operation(s) for object detection.
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openapi: 3.2.0
info:
title: Image Features Object Detection API
version: '2.0'
description: Your project description
servers:
- url: https://api.edenai.run/v2
tags:
- name: Object Detection
paths:
/image/object_detection/:
post:
operationId: image_object_detection_create
description: 'Available Providers
|Provider|Version|Price|Billing unit|
|----|-------|-----|------------|
|**amazon**|`boto3 (v1.15.18)`|1.0 (per 1000 file)|1 file
|**api4ai**|`1.9.2`|0.5 (per 1000 file)|1 file
|**google**|`v1`|2.25 (per 1000 file)|1 file
|**microsoft**|`v3.2`|1.0 (per 1000 file)|1 file
|**sentisight**|`v3.3.1`|0.75 (per 1000 file)|1 file'
summary: Object Detection
tags:
- Object Detection
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionRequest'
examples:
RequestExample:
value:
providers: amazon,google,api4ai,microsoft,sentisight
file_url: http://edenai-resource-example.png
summary: Request Example
multipart/form-data:
schema:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionRequest'
examples:
RequestExample:
value:
providers: amazon,google,api4ai,microsoft,sentisight
file: /edenai/edenai/features/image/samples/data/objects.png
summary: Request Example
required: true
security:
- FeatureApiAuth: []
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/imageobject_detectionResponseModel'
examples:
ResponseExample:
value:
amazon:
items:
- label: Living Room
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Furniture
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Indoors
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Room
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Building
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Architecture
confidence: 1.0
x_min: null
x_max: null
y_min: null
y_max: null
- label: Couch
confidence: 0.9999996948242188
x_min: null
x_max: null
y_min: null
y_max: null
- label: Interior Design
confidence: 0.999984130859375
x_min: null
x_max: null
y_min: null
y_max: null
- label: Table
confidence: 0.9944863891601563
x_min: null
x_max: null
y_min: null
y_max: null
- label: Cushion
confidence: 0.9899651336669922
x_min: null
x_max: null
y_min: null
y_max: null
cost: 0.0
google:
items:
- label: Couch
confidence: 0.87114835
x_min: 0.66105765
x_max: 0.9353079
y_min: 0.5171873
y_max: 0.91517144
- label: Couch
confidence: 0.8493409
x_min: 0.3995088
x_max: 0.65442437
y_min: 0.4860921
y_max: 0.6775963
- label: Person
confidence: 0.84032625
x_min: 0.642284
x_max: 0.8311648
y_min: 0.46736634
y_max: 0.77956
- label: Lighting
confidence: 0.679412
x_min: 0.27088618
x_max: 0.33400524
y_min: 0.24709482
y_max: 0.5099434
- label: Lighting
confidence: 0.67128795
x_min: 0.6391575
x_max: 0.73852676
y_min: 0.29109618
y_max: 0.532905
- label: Table
confidence: 0.5540873
x_min: 0.3807793
x_max: 0.6623654
y_min: 0.63843435
y_max: 0.9065644
cost: 0.0
api4ai:
items:
- label: person
confidence: 0.659053385257721
x_min: 0.6336137056350708
x_max: 0.827919602394104
y_min: 0.4696902632713318
y_max: 0.7678610384464264
- label: couch
confidence: 0.455354243516922
x_min: 0.4121762216091156
x_max: 0.6568307876586914
y_min: 0.4908463656902313
y_max: 0.6873724162578583
- label: book
confidence: 0.439803808927536
x_min: 0.4353419542312622
x_max: 0.49192070960998535
y_min: 0.6771218180656433
y_max: 0.7233667559921741
- label: couch
confidence: 0.42072421312332153
x_min: 0.6839652061462402
x_max: 0.949138879776001
y_min: 0.513281524181366
y_max: 0.9183924198150635
- label: book
confidence: 0.3950415849685669
x_min: 0.515918493270874
x_max: 0.5847917795181274
y_min: 0.659927248954773
y_max: 0.7150227092206478
cost: 0.0
microsoft:
items:
- label: couch
confidence: 0.771
x_min: 0.4140625
x_max: 0.6510416666666666
y_min: 0.5120370370370371
y_max: 0.6990740740740741
- label: person
confidence: 0.71
x_min: 0.6541666666666667
x_max: 0.840625
y_min: 0.46944444444444444
y_max: 0.7518518518518519
- label: couch
confidence: 0.699
x_min: 0.6692708333333334
x_max: 0.9359375
y_min: 0.5055555555555555
y_max: 0.925
cost: 0.0
sentisight:
items:
- label: Couch
confidence: 0.8370000000000001
x_min: 0.6567708333333333
x_max: 0.9416666666666667
y_min: 0.5435185185185185
y_max: 0.9120370370370371
- label: Coffee table
confidence: 0.8009999999999999
x_min: 0.3875
x_max: 0.6625
y_min: 0.6444444444444445
y_max: 0.9407407407407408
- label: House
confidence: 0.759
x_min: 0.058333333333333334
x_max: 0.9489583333333333
y_min: 0.08981481481481482
y_max: 0.9546296296296296
- label: Couch
confidence: 0.639
x_min: 0.6109375
x_max: 0.9104166666666667
y_min: 0.5018518518518519
y_max: 0.8185185185185185
- label: Woman
confidence: 0.595
x_min: 0.6489583333333333
x_max: 0.8432291666666667
y_min: 0.45925925925925926
y_max: 0.7916666666666666
- label: Bed
confidence: 0.58
x_min: 0.375
x_max: 0.6645833333333333
y_min: 0.5111111111111111
y_max: 0.8666666666666667
- label: Furniture
confidence: 0.535
x_min: 0.09583333333333334
x_max: 0.3307291666666667
y_min: 0.45
y_max: 0.9027777777777778
- label: Clothing
confidence: 0.493
x_min: 0.6770833333333334
x_max: 0.8291666666666667
y_min: 0.5268518518518519
y_max: 0.7425925925925926
- label: Elephant
confidence: 0.358
x_min: 0.16041666666666668
x_max: 0.2609375
y_min: 0.07962962962962963
y_max: 0.2759259259259259
cost: 0.0
summary: Response Example
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/BadRequest'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/NotFoundResponse'
description: ''
components:
schemas:
NotFoundResponse:
type: object
properties:
details:
type: string
default: Not Found
Error:
type: object
properties:
error:
$ref: '#/components/schemas/NestedError'
required:
- error
imageobject_detectionResponseModel:
properties:
clarifai:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
amazon:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
microsoft:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
api4ai:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
sentisight:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
google:
$ref: '#/components/schemas/imageobject_detectionObjectDetectionDataClass'
default: null
title: imageobject_detectionResponseModel
type: object
NestedError:
type: object
properties:
type:
type: string
message:
type: string
required:
- message
- type
ObjectItem:
properties:
label:
title: Label
type: string
confidence:
title: Confidence
type: integer
x_min:
title: X Min
type: integer
x_max:
title: X Max
type: integer
y_min:
title: Y Min
type: integer
y_max:
title: Y Max
type: integer
required:
- label
- confidence
- x_min
- x_max
- y_min
- y_max
title: ObjectItem
type: object
FieldError:
type: object
properties:
<parameter_name>:
type: array
items:
type: string
required:
- <parameter_name>
imageobject_detectionObjectDetectionRequest:
type: object
properties:
settings:
type: string
default: {}
description: "A dictionnary or a json object to specify specific models to use for some providers. <br> It can be in the following format: {\"google\" : \"google_model\", \"ibm\": \"ibm_model\"...}.\n "
providers:
type: array
items:
type: string
minLength: 1
description: 'It can be one (ex: **''amazon''** or **''google''**) or multiple provider(s) (ex: **''amazon,microsoft,google''**) that the data will be redirected to in order to get the processed results.<br> Providers can also be invoked with specific models (ex: providers: **''amazon/model1, amazon/model2, google/model3''**)'
fallback_providers:
type: array
items:
type: string
default: []
description: "Providers in this list will be used as fallback if the call to provider in `providers` parameter fails.\n To use this feature, you must input **only one** provider in the `providers` parameter. but you can put up to 5 fallbacks.\n\nThey will be tried in the same order they are input, and it will stop to the first provider who doesn't fail.\n\n\n*Doesn't work with async subfeatures.*\n "
maxItems: 5
response_as_dict:
type: boolean
default: true
description: "Optional : When set to **true** (default), the response is an object of responses with providers names as keys : <br> \n ``` {\"google\" : { \"status\": \"success\", ... }, } ``` <br>\n When set to **false** the response structure is a list of response objects : <br> \n ``` [{\"status\": \"success\", \"provider\": \"google\" ... }, ] ```. <br>\n "
attributes_as_list:
type: boolean
default: false
description: "Optional : When set to **false** (default) the structure of the extracted items is list of objects having different attributes : <br>\n ```{'items': [{\"attribute_1\": \"x1\",\"attribute_2\": \"y2\"}, ... ]}``` <br>\n When it is set to **true**, the response contains an object with each attribute as a list : <br>\n ```{ \"attribute_1\": [\"x1\",\"x2\", ...], \"attribute_2\": [y1, y2, ...]}``` "
show_base_64:
type: boolean
default: true
show_original_response:
type: boolean
default: false
description: "Optional : Shows the original response of the provider.<br>\n When set to **true**, a new attribute *original_response* will appear in the response object."
file:
type: string
format: binary
description: 'File to analyse in binary format to be used with *content-type*: **multipart/form-data** <br> **Does not work with application/json !**'
pattern: (?:jpg|jpeg|png|tiff)$
file_url:
type:
- string
- 'null'
format: uri
description: 'File **URL** to analyse to be used with with *content-type*: **application/json**.'
required:
- providers
StatusEnum:
enum:
- sucess
- fail
type: string
NestedBadRequest:
type: object
properties:
type:
type: string
message:
$ref: '#/components/schemas/FieldError'
required:
- message
- type
BadRequest:
type: object
properties:
error:
$ref: '#/components/schemas/NestedBadRequest'
required:
- error
imageobject_detectionObjectDetectionDataClass:
properties:
items:
items:
$ref: '#/components/schemas/ObjectItem'
title: Items
type: array
original_response:
default: null
description: original response sent by the provider, hidden by default, show it by passing the `show_original_response` field to `true` in your request
title: Original Response
status:
allOf:
- $ref: '#/components/schemas/StatusEnum'
title: Status
required:
- status
title: imageobject_detectionObjectDetectionDataClass
type: object
securitySchemes:
FeatureApiAuth:
type: http
scheme: bearer
bearerFormat: JWT