Silverpond

Deep Learning Object Detector Demo

We’ve used deep learning to build an object detector on the PASCAL VOC dataset. The detector is trained to recognise 20 different types of objects:

  • Person: person
  • Animal: bird, cat, cow, dog, horse, sheep
  • Vehicle: aeroplane, bicycle, boat, bus, car, motorbike, train
  • Indoor: bottle, chair, dining table, potted plant, sofa, tv/monitor

If you provide an image containing some of these objects, the network should localise them!

Note: Please keep images below 2 MB in size.


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