EXPO-HD
Introduced by Ron et al. in Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic Data
The EXPO-HD Dataset is a dataset of Expo whiteboard markers for the purpose of instance segmentation. The dataset contains two subsets (both include instances segmentation labels):
- Photorealistic synthetic image dataset with 5000 images.
- Real image dataset with 200 images (used for validation and test).
The dataset can be used for testing domain adaptation techniques, as the training set consists of only synthetic images, and the validation and test sets consist of real images.
Source: EXPO-HD: Exact Object Perception using High Distraction Synthetic DataPapers
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