Score Interior

POST

Score interior images in terms of quality and condition. Ranges is from 0 (disrepair) to 1 (excellent). Can process up to 30 image urls at a time.

Request

This endpoint expects an object.

image_urlslist of stringsRequired

A list of image URLs to send to the computer vision API.

Response

property_scoredouble

The score of the property’s interior. It’s a weighted average of the room qualities by their individual weights, calibrated based on observed correlations with rents. Feel free to build your own weights based on your business logic, for example if you want to give more importance to the kitchen quality than the bathroom quality. A number between 0 and 1.

qualitieslist of objects

A list of detected qualities and their probabilities for each image. The list is in the same order as the input image URLs.

Built with

1	curl -X POST https://api.hellodata.ai/qualityscore/score_interior \
2	-H "x-api-key: <apiKey>" \
3	-H "Content-Type: application/json" \
4	-d '{
5	"image_urls": [
6	"https://example.com/image1.jpg",
7	"https://example.com/image2.jpg"
8	]
9	}'

1	{
2	"property_score": 0.9,
3	"qualities": [
4	{
5	"features": [
6	[
7	{
8	"probability": 0.9,
9	"feature": "stainless_steel_appliances"
10	}
11	]
12	],
13	"quality": 0.9,
14	"function": "kitchen",
15	"url": "https://example.com/image1.jpg"
16	}
17	]
18	}