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Dataset Card for Dataset Name
Dataset Description
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Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
@inproceedings{10.1145/3592571.3592978, author = {Mach'{a}\v{c}ek, Roman and Mozaffari, Leila and Sepasdar, Zahra and Parasa, Sravanthi and Halvorsen, P\r{a}l and Riegler, Michael A. and Thambawita, Vajira}, title = {Mask-conditioned latent diffusion for generating gastrointestinal polyp images}, year = {2023}, isbn = {9798400701863}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3592571.3592978}, doi = {10.1145/3592571.3592978}, booktitle = {Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval}, pages = {1–9}, numpages = {9}, keywords = {polyp segmentation, polyp generative model, generating synthetic data, diffusion model}, location = {Thessaloniki, Greece}, series = {ICDAR '23} }
Contributions
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