machine learning - Training on MNIST, detecting sequences of numbers? -
after you've trained model on mnist set, how can classify image having 2 digits? more generally, how train model detect number of digits on image?
there hot field called "object detection" tries want. in general, can detect (digits, people, cars, etc) images , videos.
the state-of-the-art techniques fall 2 categories:
- faster-rcnn, first proposes lot of candidate windows objects of interest , detects inside these windows.
- ssd, scans images once , detect objects, faster not reliable compared faster-rcnn.
a well-known real-time object detection method yolo (you once), falls in ssd category, , has impressive real-time demo here, give sense of object detection. search these methods' names , find lot of example code satisfies needs.
if looking digit detection, check out work surrounding stanford's house number dataset. however, note these works 5 , more years ago , not beat general methods faster-rcnn , ssd.
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