Hand pose estimation is a challenging task due to the large number of degrees freedom and frequent occlusions joints. To address these challenges, we propose HandyPose, single-pass, end-to-end trainable architecture for 2D hand using single RGB image as input. Adopting an encoder-decoder framework with multi-level features, along novel waterfall atrous spatial pooling module multi-scale represe...