Classification
This page details the endpoint for sending images for classification through Foyer Insight. An SDK is provided at https://www.npmjs.com/package/@foyer-inc/insight-sdk
There is a 10MB limit on images sent to the classify endpoint.
post
https://api.foyer.ai
/Media/classify
Classify a single image
Only one of file, files, url or urls may be specified.
{
"url": "https://upload.wikimedia.org/wikipedia/commons/6/6d/Down_House.jpg",
"force": true
}
| | |
aerial_view | indoor | outdoor |
bathroom | bedroom | community |
gym | diagram | dining_room |
front_of_structure | garage | kitchen |
laundry | living_room | office |
other | pool | closet |
Features
Furniture
Items
Outdoor
| | |
fireplace | stairway | floor |
ceiling | window | wall |
stairs | cabinet | sink |
counter | closet | toilet |
kitchen_island | bar | countertop |
bannister | booth | chandelier |
shelf | stove | railing |
refrigerator | column | bathtub |
blind | escalator | door |
fountain | stage | buffet_counter |
conveyor | canopy | washing_machine |
swimming_pool | oven | step |
tank | microwave | dishwasher |
hood | sconce | shower |
radiator | | |
| | |
table | curtain | chair |
bench | couch | chest |
mirror | rug | armchair |
seat | desk | stand |
coffee_table | pool_table | grandstand |
display_case | pillow | bookcase |
ottoman | swivel_chair | stool |
cradle | trashcan | bulletin |
bed | | |
| | |
poster | painting | lamp |
computer | cushion | box |
sign | screen | book |
toy | arcade_machine | towel |
television | apparel | light |
pole | bottle | basket |
ball | barrel | bag |
food | pot | projection_screen |
vase | sculpture | blanket |
tray | fan | crt |
plate | monitor | drinking_glass |
clock | flag | |
| | |
sky | tree | road |
building | grass | sidewalk |
ground | mountain | plant |
car | water | house |
sea | field | fence |
stone | sand | skyscraper |
path | runway | river |
bridge | flower | hill |
palm | boat | hut |
truck | tower | bus |
awning | streetlight | airplane |
dirt_track | land | van |
tent | waterfall | ship |
motorbike | bicycle | lake |
traffic_light | pier | |
Attributes are more specific features gathered from the objects detected in the images. For the segmentations that have them, the attributes will give more robust information about the image. Attributes will always have a name field and a value field. Currently, the possible attributes are:
tagpoint: thetagpointattribute's value is an array in the shape of [x, y] where x and y are percentage-based. They form a point that is guaranteed to be on the segmentation for tagging/display purposes.is_stainless: A boolean. This attribute appears on refrigerator, stove, oven, washing_machine, hood, and dishwasher segmentations.floor_type: A string of one of the possible flooring classifications (defined below). An additional float field,confidence, exists on this attribute.
A floor segmentation will automatically have a flooring type within its attributes.
| | |
carpet | stone | marble |
hardwood | tile | other |
post
https://api.foyer.ai
/Media/classifyReso
Classify images from a RESO object
This function accepts a RESO payload and returns inference data from all provided Media objects. This returns the RESO data with additional classification and segmentation data added to it. To fit RESO guidelines where possible, output classifications are contained in the
ImageOf field.The classifyRESO endpoint does not return mask data. Mask data for images on a full listing can make the resulting payload many times larger. We can provide bulk inference with mask data included, but logistics for the large payloads must first be arranged.
See the RESO definition for a Media Resource. We require the
MediaURL field to be defined for image classification.{
"@odata.id": "http://odata.listhub.moveaws.com/odata/Property('3yd-A2SELL-281884')",
"ListingKey": "3yd-A2SELL-281884",
"ListingId": "281884",
"PropertyType": "Land",
"PropertySubType": "Other",
"ListPrice": 21900,
"Media": [
{
"MediaCategory": "Photo",
"MediaURL": "http://photos.listhub.net/A2SELL/281884/1",
"MediaKey": "2483763c0011d2a36483fb3f28ca8c00564abb4d",
"MediaModificationTimestamp": "2019-10-03T09:14:00.000Z"
}
]
}
{
"@odata.id": "http://odata.listhub.moveaws.com/odata/Property('3yd-A2SELL-281884')",
"ListingKey": "3yd-A2SELL-281884",
"ListingId": "281884",
"PropertyType": "Land",
"PropertySubType": "Other",
"ListPrice": 21900,
"Media": [
{
"MediaCategory": "Photo",
"MediaURL": "http://photos.listhub.net/A2SELL/281884/1",
"MediaKey": "2483763c0011d2a36483fb3f28ca8c00564abb4d",
"MediaModificationTimestamp": "2019-10-03T09:14:00.000Z",
"ImageOf": [
"diagram",
"plat_map",
"outdoor"
],
"Segmap": [
{
"class": "wall",
"attributes": [],
"area": 0.00493621826171875,
"boundingBox": [
0.408203125,
0.169921875,
0.974609375,
0.490234375
],
"confidence": 0.4345703125
},
{
"class": "sky",
"attributes": [],
"area": 0.9121208190917969,
"boundingBox": [
0,
0,
0.998046875,
0.998046875
],
"confidence": 0.93798828125
},
{
"class": "fence",
"attributes": [],
"area": 0.0113372802734375,
"boundingBox": [
0.546875,
0.248046875,
0.96875,
0.37890625
],
"confidence": 0.47607421875
}
]
}
]
}
Last modified 1yr ago