Deep Learning Fruit Segmentation - Apples
Deep learning a fruit detection model using a hand labelled dataset of 25 images of size 2400 x 1600. Tested on a video stream of high density apple crop data (recorded at roughly 5Hz, playback at 3x).
Please ignore the constant heat region in the lower right bottom corner.
For more details refer to the publication:
S. W. Chen et al., "Counting Apples and Oranges With Deep Learning: A Data-Driven Approach," in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 781-788, April 2017.
URL: http://ieeexplore.ieee.org/stamp/stam...
Precision Agriculture at Penn:
http://label.ag/wiki/index.php/Penn_A...