iSAID-Reduce100
- Citation Author(s):
-
Yiping Gong
- Submitted by:
- Yiping Gong
- Last updated:
- DOI:
- 10.21227/6sab-0964
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- Categories:
- Keywords:
Abstract
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).
Instructions:
Data set:
train: 1400 training samples
val: 1362 training samples
Download raw data (*.png, *.json):
-train2019/
-image (*.png)
-label(*.json)
-val2019/
-image (*.png)
-label(*.json)
or download COCO format:
-annotations
-train/JPEGImages/image (*.png)
-instances_train.json
-val/JPEGImages/image (*.png)
-instances_val.json
