learning [13] allows computational models composed of multiple processing layers to learn representations of data with various abstraction levels, learning the most predictive features directly from the images given a large data set of labeled examples, without the need for prior definition by human ...
The process starts with sequences of data that are collected and labeled manually. We labeled each sequence of thyroid images a goal or an ideal position for model to learn as shown in Fig. 3a. After that, each of sequence of image will be aligned and attached to be a panorama as ...
Figure 2. Skeleton that represents a model of a human body. The black dots represent the manually annotated targets. Each acquired video frame was labeled manually by an experienced swimming trainer through a graphic user interface specifically developed in Python. Only the visible target body part...
Some CWD can be seen labeled as either terrain (blue) or vegetation (green). 1:56—Diameter measurements were extracted typically about half-way up the tree in this dataset. Height measurement lines can be seen going to the top of the canopy as intended. 2:24—The individual tree ...