The Objects States Detection Dataset consists of images depicting everyday household objects in a number of different states. The ground-truth annotations involve the labels and bounding boxes spanning 18 object categories and 9 state classes.
The object categories are: \textit{bottle, jar, tub, book, drawer, door, cup, mug, glass, bowl, basket, box, phone, charger, socket, towel, shirt} and \textit{newspaper}. The 9 state classes are: \textit{open, close, empty, containing something liquid (CL), containing something solid (CS), plugged, unplugged, folded} and \textit{unfolded}.
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