Datasets:

lapix
/

CCAgT

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In total, this dataset has more than 63K instances of annotated object.\nThe images are from the patients of the Gynecology and Colonoscopy Outpatient Clinic of the Polydoro Ernani de S\u00e3o Thiago University Hospital of the Universidade Federal de Santa Catarina (HU-UFSC).\n", "citation": "@misc{CCAgTDataset,\n doi = {10.17632/WG4BPM33HJ.2},\n url = {https://data.mendeley.com/datasets/wg4bpm33hj/2},\n author = {Jo{\\~{a}}o Gustavo Atkinson Amorim and Andr{'{e}} Vict{'{o}}ria Matias and Tainee Bottamedi and Vin\u00edcius Sanches and Ane Francyne Costa and Fabiana Botelho De Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},\n title = {CCAgT: Images of Cervical Cells with AgNOR Stain Technique},\n publisher = {Mendeley},\n year = {2022},\n copyright = {Attribution-NonCommercial 3.0 Unported}\n}\n", "homepage": "https://data.mendeley.com/datasets/wg4bpm33hj", "license": "CC BY NC 3.0 License", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "annotation": {"decode": true, "id": null, "_type": "Image"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ccagt", "config_name": "semantic_segmentation", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2092036, "num_examples": 6533, "dataset_name": "ccagt"}, "test": {"name": "test", "num_bytes": 449288, "num_examples": 1403, "dataset_name": "ccagt"}, "validation": {"name": "validation", "num_bytes": 449188, "num_examples": 1403, "dataset_name": "ccagt"}}, "download_checksums": {"https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/wg4bpm33hj-2.zip": {"num_bytes": 3548726325, "checksum": "eb9f01e8feae0029056dac2dfa6f5e9780692e1a54c0df1bbd33cd279b9eb557"}}, "download_size": 3548726325, "post_processing_size": null, "dataset_size": 2990512, "size_in_bytes": 3551716837}, "object_detection": {"description": "The CCAgT (Images of Cervical Cells with AgNOR Stain Technique) dataset contains 9339 images (1600x1200 resolution where each pixel is 0.111\u00b5mX0.111\u00b5m) from 15 different slides stained using the AgNOR technique.\nEach image has at least one label. In total, this dataset has more than 63K instances of annotated object.\nThe images are from the patients of the Gynecology and Colonoscopy Outpatient Clinic of the Polydoro Ernani de S\u00e3o Thiago University Hospital of the Universidade Federal de Santa Catarina (HU-UFSC).\n", "citation": "@misc{CCAgTDataset,\n doi = {10.17632/WG4BPM33HJ.2},\n url = {https://data.mendeley.com/datasets/wg4bpm33hj/2},\n author = {Jo{\\~{a}}o Gustavo Atkinson Amorim and Andr{'{e}} Vict{'{o}}ria Matias and Tainee Bottamedi and Vin\u00edcius Sanches and Ane Francyne Costa and Fabiana Botelho De Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},\n title = {CCAgT: Images of Cervical Cells with AgNOR Stain Technique},\n publisher = {Mendeley},\n year = {2022},\n copyright = {Attribution-NonCommercial 3.0 Unported}\n}\n", "homepage": "https://data.mendeley.com/datasets/wg4bpm33hj", "license": "CC BY NC 3.0 License", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "objects": {"feature": {"bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "label": {"num_classes": 7, "names": ["NUCLEUS", "CLUSTER", "SATELLITE", "NUCLEUS_OUT_OF_FOCUS", "OVERLAPPED_NUCLEI", "NON_VIABLE_NUCLEUS", "LEUKOCYTE_NUCLEUS"], "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ccagt", "config_name": "object_detection", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2165298, "num_examples": 6533, "dataset_name": "ccagt"}, "test": {"name": "test", "num_bytes": 456452, "num_examples": 1403, "dataset_name": "ccagt"}, "validation": {"name": "validation", "num_bytes": 464778, "num_examples": 1403, "dataset_name": "ccagt"}}, "download_checksums": {"https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/wg4bpm33hj-2.zip": {"num_bytes": 3548726325, "checksum": "eb9f01e8feae0029056dac2dfa6f5e9780692e1a54c0df1bbd33cd279b9eb557"}}, "download_size": 3548726325, "post_processing_size": null, "dataset_size": 3086528, "size_in_bytes": 3551812853}, "instance_segmentation": {"description": "The CCAgT (Images of Cervical Cells with AgNOR Stain Technique) dataset contains 9339 images (1600x1200 resolution where each pixel is 0.111\u00b5mX0.111\u00b5m) from 15 different slides stained using the AgNOR technique.\nEach image has at least one label. In total, this dataset has more than 63K instances of annotated object.\nThe images are from the patients of the Gynecology and Colonoscopy Outpatient Clinic of the Polydoro Ernani de S\u00e3o Thiago University Hospital of the Universidade Federal de Santa Catarina (HU-UFSC).\n", "citation": "@misc{CCAgTDataset,\n doi = {10.17632/WG4BPM33HJ.2},\n url = {https://data.mendeley.com/datasets/wg4bpm33hj/2},\n author = {Jo{\\~{a}}o Gustavo Atkinson Amorim and Andr{'{e}} Vict{'{o}}ria Matias and Tainee Bottamedi and Vin\u00edcius Sanches and Ane Francyne Costa and Fabiana Botelho De Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},\n title = {CCAgT: Images of Cervical Cells with AgNOR Stain Technique},\n publisher = {Mendeley},\n year = {2022},\n copyright = {Attribution-NonCommercial 3.0 Unported}\n}\n", "homepage": "https://data.mendeley.com/datasets/wg4bpm33hj", "license": "CC BY NC 3.0 License", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "objects": {"feature": {"bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "segment": {"feature": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}, "label": {"num_classes": 7, "names": ["NUCLEUS", "CLUSTER", "SATELLITE", "NUCLEUS_OUT_OF_FOCUS", "OVERLAPPED_NUCLEI", "NON_VIABLE_NUCLEUS", "LEUKOCYTE_NUCLEUS"], "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "ccagt", "config_name": "instance_segmentation", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10526806, "num_examples": 6533, "dataset_name": "ccagt"}, "test": {"name": "test", "num_bytes": 2187176, "num_examples": 1403, "dataset_name": "ccagt"}, "validation": {"name": "validation", "num_bytes": 2251830, "num_examples": 1403, "dataset_name": "ccagt"}}, "download_checksums": {"https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/wg4bpm33hj-2.zip": {"num_bytes": 3548726325, "checksum": "eb9f01e8feae0029056dac2dfa6f5e9780692e1a54c0df1bbd33cd279b9eb557"}}, "download_size": 3548726325, "post_processing_size": null, "dataset_size": 14965812, "size_in_bytes": 3563692137}}