LSWH100 - Libras SignWriting Handshape

Libras SignWriting Handshape (LSWH100) is a new handshape dataset focused on Sign Language Recognition. The dataset includes 144,000 synthetic images of a realistic human hand, covering 100 distinct handshape classes used in Brazillian Sign Language (Libras). Each handshape is represented from four different perspectives: front, back, left and right. However, the perspectives are independent of each other. In other words, the hands represented in one perspective will not be the same as those in other perspectives. Handshapes are named using the convention from SignWriting, a writing system for sign languages. The dataset contains annotations for classification, detection, segmentation, depth estimation, and 3D hand keypoints. Images include indoor and outdoor scenes during different times of day, centered on a single hand that can change size, 3D rotation, and skin tone. We generated these images using Blender, a free and open-source 3D creation software.