First Name: 
Yiping
Last Name: 
Gong

Datasets & Competitions

The iSAID-Reduce100 is a reduced version of the DOTA dataset for instance segmentation task, including 1400 training samples and 1362 validation samples. The images are captured from multiple sensors and cropped to (512, 512).  

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The iSAID-Reduce100 dataset is a reduced version of the iSAID dataset for instance segmentation on remote sensing imagery. The dataset is composed of a training set and validation set. For each category, there are 100 training images and ~100 validation images. The pixel size of the image is 512.

Instructions: 

The iSAID-reduce100.zip is organized by two folders: train-100 and val-100. In each folder, files are stored by category. For each image, there is an associated label image and yaml file, recoding the instance information. 

It can be directly used for region-based instance segmentation network, such as Mask R-CNN. Unzip the .rar file and put it where you want. Then you can start training models with this dataset immediately.

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