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01mr3vial /paleo-hebrew-seals-synthetic PaleoHebrew-Seals Synthetic Corpus This repository hosts the synthetic corpus part of PaleoHebrew-Seals, a dataset suite for multimodal recognition of Paleo-Hebrew seal inscriptions. Why this dataset is needed Annotated real Paleo-Hebrew seal photographs are scarce. The synthetic corpus is designed to provide large-scale supervision for training and augmentation while preserving explicit structure at the character level. Overview The corpus contains… See the full description on the dataset page: https://huggingface.co/datasets/mr3vial/paleo-hebrew-seals-synthetic.imageobject-detection100K<n<1M0 likes93 downloads4mo agoHugging Face02mr3vial /paleo-hebrew-seals-unambiguous PaleoHebrew-Seals Real Benchmark (Unambiguous Subset) This repository hosts the real benchmark part of PaleoHebrew-Seals, a dataset suite for multimodal recognition of Paleo-Hebrew seal inscriptions from photographs. Why this dataset is needed Paleo-Hebrew seal inscriptions are difficult for standard OCR systems: the signs are sparse, shallow, frequently worn, and embedded in irregular seal impressions captured under uncontrolled lighting and viewpoint changes.… See the full description on the dataset page: https://huggingface.co/datasets/mr3vial/paleo-hebrew-seals-unambiguous.imageobject-detectionn<1K0 likes64 downloads6mo agoHugging Face03sivan22 /hebrew-handwritten-dataset Dataset Information Keywords Hebrew, handwritten, letters Description HDD_v0 consists of images of isolated Hebrew characters together with training and test sets subdivision. The images were collected from hand-filled forms. For more details, please refer to [1]. When using this dataset in research work, please cite [1]. [1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting… See the full description on the dataset page: https://huggingface.co/datasets/sivan22/hebrew-handwritten-dataset.imageimage-classification1K<n<10K15 likes54 downloads3y agoHugging Face

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