datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
microcolony-domain-adaptationMicrocolony Domain Adaptation (Foodborne Bacteria) is a microscopy image dataset for foodborne bacterial classification under varying imaging conditions. It was created to support research in adversarial domain adaptation, enabling models trained on standard phase contrast microscopy images to generalize across different optical configurations and biological conditions.
This dataset accompanies the publication: Bhattacharya, S., Wasit, A., Earles, M., Nitin, N., & Yi, J. (2025). Enhancing AI… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/microcolony-domain-adaptation.CSIC2010_dataset_domain_adaptationzc-domain-adaptation-2weighted_trainingdata_domain_adaptation_government_telephone
Dataset Card for "weighted_trainingdata_domain_adaptation_government_telephone"
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African-ASR-Domain-Adaptation-Evaluation
Dataset Card for Africa ASR Domain Adaptation Benchmark Dataset
This dataset forms the the Africa ASR domain adaptation benchmark. The goal of the dataset is to enable building of ASR models for African languages that can adapt to domians outside the training data.
The benchmark is made up of 2 languages, Wolof and Akan.
The training dataset for Akan is made up of general purpose data while the test dataset is financial data. The training dataset for Wolof is composed of general… See the full description on the dataset page: https://huggingface.co/datasets/asr-africa/African-ASR-Domain-Adaptation-Evaluation.