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.