FINDING FOUR-LEAF CLOVERS: A BENCHMARK FOR FINE-GRAINED OBJECT LOCALIZATION
Abstract
Figure 1. (Left panel) Example of an image of the FLC dataset. (Right panel) Positive samples of four-leaf clovers on the image on the left.
The four-leaf clover dataset
Table 1. Comparison of FLC to major visual recognition datasets. Clubsuit (♣) indicates that a dataset allows to study a recognition problem at a fine-grained level, triangle (4) indicates that the version of the problem is not fine-grained, and (×) indicates that a dataset does not allow to study a problem. The first six rows correspond to object recognition datasets that lack a fine-grained nature, while the next five rows present examples of fine-grained image classification datasets.Figure 2. Examples of segmentation annotations
Table 2. FLC dataset statistics. 4-leaf clover pixels and 4-leaf clover boundary pixels refer to the rate of the total of positive pixels over the total of pixels in the FLC dataset.
