FES (Fisheye Evaluation Suite)
Introduced by Scheck et al. in Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
FES is an indoor dataset that can be used for evaluation of deep learning approaches. It consists of 301 top-view fisheye images from an indoor scene. Annotations include bounding boxes and instance segmentation masks for 6 classes.
Papers
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