This dataset is provided for research on aerial image segmentation. The dataset contains 80 high-resolution aerial images with spatial resolution ranging ...
The AIRS (Aerial Imagery for Roof Segmentation) dataset provides a wide coverage of aerial imagery with 7.5 cm resolution and contains over 220000 buildings ...
04.02.2019 · This dataset consists of 180 aerial images of urban settlements in Europe and United States, and is labeled as a building and not building classes. Every image in the data set is RGB and has 5000×5000 pixels resolution where each pixel corresponds to a …
Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). Recent additions and ...
The task posed for. AIRS is defined as roof segmentation. We implement several state-of-the-art deep learning methods of semantic segmentation for performance ...
The Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset features:.
AIRS (Aerial Imagery for Roof Segmentation) is a public dataset that aims at benchmarking the algorithms of roof segmentation from very-high-resolution ...
Aerial Image Segmentation Dataset Aerial Image Segmentation Dataset This dataset is provided for research on aerial image segmentation. The dataset contains 80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. The …
18.02.2021 · Aerial Image Segmentation with PyTorch (2021 v1.7.1) Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixel-wise labelling of aerial imagery. The UNet leads to more advanced design in Aerial Image Segmentation. Future updates will gradually apply those methods into this repository.
May 29, 2020 · Humans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE. Content The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes.
Feb 18, 2021 · Aerial Image Segmentation with PyTorch (2021 v1.7.1) Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixel-wise labelling of aerial imagery. The UNet leads to more advanced design in Aerial Image Segmentation. Future updates will gradually apply those methods into this repository.
29.05.2020 · Humans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE. Content The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes.
Aerial Image Segmentation Dataset This dataset is provided for research on aerial image segmentation. The dataset contains 80 high-resolution aerial images with spatial resolution ranging from 0.3 to 1.0. The image set contains different scenes, including school, residential, city, warehouse and power plants. The size of each
Feb 04, 2019 · This dataset consists of 180 aerial images of urban settlements in Europe and United States, and is labeled as a building and not building classes. Every image in the data set is RGB and has 5000×5000 pixels resolution where each pixel corresponds to a 30cm×30cm of Earth surface.