Dataset from Zenodo · Morin, Lucas
MolClassifier Training and Validation Datasets
- License
- cdla-sharing-1.0check terms at the source
- We do not recognise this license. Read its terms at the source before using the data.
- Formats
- ZIP
- Size
- 1.5 GB
- Updated
- Jun 18, 2024
Description
The dataset contains 18626 chemical images (15720 for training and 2906 for validation) with annotated classes: Molecular Structure , Markush Structure and Background . Selected chemical images are randomly selected from the outputs of a segmentation module applied to documents from the United States Patent and Trademark Office. This dataset is part of PatCID: an open-access dataset of chemical structures in patent documents .
Description from Zenodo, shortened.
Files (1)
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