In order to perform semantic segmentation, a higher level understanding of the image is required. The algorithm should figure out the objects present and also ...
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Jan 10, 2021 · The Semantic Drone Dataset focuses on semantic understanding of urban scenes for increasing the safety of autonomous drone flight and landing procedures. The imagery depicts more than 20 houses from nadir (bird's eye) view acquired at an altitude of 5 to 30 meters above ground. A high resolution camera was used to acquire images at a size of ...
29.05.2020 · The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes. The total volume of the dataset is 72 images grouped into 6 larger tiles. The classes …
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A Large Scale Fish Dataset ... Silver. more_horiz. SIIM ACR Pneumothorax Segmentation Data ... more_horiz. Semantic Segmentation for Self Driving Cars.
10.01.2021 · Dataset Overview. The Semantic Drone Dataset focuses on semantic understanding of urban scenes for increasing the safety of autonomous drone flight and landing procedures. The imagery depicts more than 20 houses from nadir (bird's eye) view acquired at an altitude of 5 to 30 meters above ground. A high resolution camera was used to acquire ...
Let's perform semantic segmentation on this CARLA dataset using transfer learning. For ease of use, we'll begin by moving all the provided data into two ...
https://www.kaggle.com/pierrenicolaspiquin/oct-segmentation/data # Settings ... otypes=[np.float]) def create_dataset(paths): x = [] y = [] for path in ...
May 29, 2020 · The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes. The total volume of the dataset is 72 images grouped into 6 larger tiles. The classes are: Building: #3C1098. Land (unpaved area): #8429F6.