PanoMitoAtlas

Le résumé fourni par la source

The dataset includes 2D images, 3D images, time-lapse images, and the training/test splits used in PanoMito, enabling researchers to reproduce our experiments and reuse the dataset for future studies. The PanoMitoAtlas.zip archive contains the following components: all_2d_dataset: This folder contains 6,481 mitochondrial images and 131,940 corresponding annotations. The annotation file is provided as _all_data_annotations.json. all_3d_dataset: This folder contains 1,283 mitochondrial images and 475 corresponding 3D annotations. The annotation file is provided as 3D_annotations_all_rle_track_id.json. timeline: This folder contains 71 time-lapse mitochondrial images and 858 corresponding annotations. The annotation file is provided as Timeline_annotations_all_rle_timeline_id.json. train_test_subset: This folder contains the predefined training and test subsets used in our manuscript. The train folder contains 1,422 mitochondrial images, 51,781 corresponding annotations in _train_subdataset_gt.json, and the RLE-encoded annotation file used for training in NumPy format, _train_subdataset_gt_nocate_rle.npy. The test folder contains 611 mitochondrial images, 21,928 corresponding annotations in _test_subdataset_gt.json, and the RLE-encoded annotation file used for evaluation/training-format loading in NumPy format, _test_subdataset_gt_nocate_rle.npy.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.