Existing Earth Vision datasets are either suitable for semantic segmentation or object detection. iSAID is the first benchmark dataset for instance segmentation in aerial images.

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images is a dataset for instance segmentation, semantic segmentation, and object detection tasks.

May 30, 2019 · In this work, we introduce the first benchmark dataset for instance segmentation in aerial imagery that combines instance-level object detection and pixel-level segmentation tasks.

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images, CVPR workshops, 2019. Please download iSAID dataset that contains image segmentation masks. Also, …

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In this work, we introduce the first benchmark dataset for instance segmentation in aerial imagery that combines instance-level object detection and pixel-level segmentation tasks.

iSAID is a dataset for instance segmentation, semantic segmentation, and object detection tasks.

To address the shortcomings of these existing datasets, we introduce a large-scale Instance Segmentation in Aerial Images Dataset (iSAID). Our dataset contains annotations for an …

May 1, 2019 · This work introduces the first benchmark dataset for instance segmentation in aerial imagery that combines instance-level object detection and pixel-level segmentation …

Dota is a large-scale dataset for object detection in aerial images. You can download iSAID from either Baidu Drive or Google Drive, according to your network connections.