MIT news |
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An MIT model for object recognition takes as input the unlabeled images of digital photographs from the street scene database (top) and generates automatic annotations (bottom row). The orange bounding boxes are for pedestrians ("ped") and cars ("car"). The system would have also detected bicycles if present. For sky, buildings, trees and road, the system uses color coding (blue, brown, green and grey). Note the false detection in the image on the right. A construction sign was mistaken for a pedestrian. Image courtesy / Stanley Bileschi, McGovern Institute for Brain Research at MIT |
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