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rocaille-segmentation-experiments
hudo259/rocaille-segmentation-experiments
rocaille-segmentation-experiments is a machine learning model from hudo259. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains all the artifacts related to the models and experiments of our paper "A Multimodal Dataset of 18th-Century Prints for Segmentation and Analysis of Rocaille Ornaments" (Hudcovic et al.) Specifi…
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Updated Mar 18, 2026
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At a glance
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Mar 18, 2026
- SHA
- 22f27f45
Model card
From the Hugging Face model README
Rocaille Segmentation Experiment Artifacts
This repository contains all the artifacts related to the models and experiments of our paper "A Multimodal Dataset of 18th-Century Prints for Segmentation and Analysis of Rocaille Ornaments" (Hudcovic et al.) Specifically, all the model weights/checkpoints, logs and visualizations of samples and groundtruth and predicition pairs.
Usage
Please refer to our codebase for usage notes: https://github.com/hudo259/Rocaille-Segmentation-Experiments-Framework
Evaluation Results
Please refer to our paper for evaluation results: [TODO]
Training Data for these Model Weights
The corresponding dataset can be found at Zenodo: https://zenodo.org/records/17940261
Training Configs & Parameters
Please refer to our codebase, specifically the running scripts and configuration files of the models and other hyperparameters. However, the used configurations can also be found in the logs included in this repository.
Citation
Paper: [TODO]
license: mit tags:
- Rocaille
- checkpoints
- weights
- segmentation
- logs
- u-net
- Created
- Dec 13, 2025
- Updated
- Mar 18, 2026