Google Street View object detection.
generated on 29/Jan/2018. This demo uses the EAST text detection model and the Faster RCNN with Inception Resnet v2 object detection model trained on objects in Microsoft's COCO Dataset. We used , on images automatically scrapped from . instructions:
  • click on dots on map to see Street View images and detections.
  • click on object names to see their spatial distribution.
Click here to see some basic analyis of appearance correlations of detected objects.
Street view image sampling: downtown Madrid, an area of aprox 1km X 700m, every street corner and random street midpoints. At each sampling point images were grabbed facing front, left and right as the algorithm automatically walked through sreet view. This represents a total of 629 locations (black dots on map) and 1887 images.

Objects detected (click to see on map) in parenthesis the number of total dectections.
texts (6911) person (5634) car (2876) motorcycle (713) chair (420) truck (311) bicycle (171) potted plant (170) bus (158) handbag (143) backpack (101) umbrella (100) traffic light (95) stop sign (85) bench (59) dining table (40) sports ball (29) suitcase (27) clock (15) fire hydrant (12) refrigerator (11) bottle (11) book (8) vase (8) tv (8) dog (7) train (7) skateboard (7) parking meter (7) boat (5) skis (4) couch (3) cat (3) cell phone (3) frisbee (3) baseball glove (2) toilet (2) cup (2) horse (2) bowl (2) bird (1) banana (1) wine glass (1) keyboard (1) kite (1) oven (1) remote (1) snowboard (1) surfboard (1) teddy bear (1) tennis racket (1) tie (1) laptop (1)
Challenge: find the teddy bear and the tie