Object detection in living spaces is specialized for objects, such as microwave, oven, chair, table, mouse, and laptop.
Living space reveals individual's lifestyle. You can use the object recognition technology in your living space to decorate your own space and have easier access to objects by identifying them. In business, you can recommend specific products to customers by understanding the styles of the items in their living spaces
|Input data||MP4, JPG, PNG 등||Image or video data
|Output data||JPG, PNG 등||person, bottle, wineglass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, microwave, oven, toaster, sink, refrigerator, chair, Sofa, flowerpot, bed, dining table, toilet, TV, laptop, mouse, remote control, keyboard, mobile phone, book, clock, vase, scissors, doll, hair dryer, toothbrush, backpack, umbrella, handbag, tie, suitcase objects information
(coordinates, labeling image)
||Attached file upon application
|API Setting||$1,800 ~|
|API Predicting||$0.02 / Image|