datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
plant-pathology-2021
Description
Dataset from the Plant Pathology 2021 (FGVC8) Challenge.
'
For Plant Pathology 2021-FGVC8, we have significantly increased the number of foliar disease images and added additional disease categories. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different… See the full description on the dataset page: https://huggingface.co/datasets/timm/plant-pathology-2021.Breast_Pathology_Image_JPG
BreastPathDB
BreastPathDB is a breast cancer histopathology dataset for whole-slide image based subtype classification. It contains 770 de-identified whole-slide images, including 165 H&E slides and 605 IHC slides, with clinical subtype labels, curated metadata, and patient-level train/validation/test splits.
The dataset is intended for computational pathology benchmarking, weakly supervised WSI classification, and cross-cohort method development.
Browse files and metadata… See the full description on the dataset page: https://huggingface.co/datasets/kmmuleelab/Breast_Pathology_Image_JPG.PathoROB-camelyon
PathoROB
Preprint | Code | Licenses | Cite
PathoROB is a benchmark for the robustness of pathology foundation models (FMs) to non-biological medical center differences.
PathoROB contains four datasets covering 28 biological classes from 34 medical centers and three metrics:
Robustness Index: Measures the dominance of biological over non-biological features in an FM representation space.
Average Performance Drop (APD): Measures the robustness of downstream models to shortcut… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/PathoROB-camelyon.PathoROB-tolkach_esca
PathoROB
Preprint | Code | Licenses | Cite
PathoROB is a benchmark for the robustness of pathology foundation models (FMs) to non-biological medical center differences.
PathoROB contains four datasets covering 28 biological classes from 34 medical centers and three metrics:
Robustness Index: Measures the dominance of biological over non-biological features in an FM representation space.
Average Performance Drop (APD): Measures the robustness of downstream models to shortcut… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/PathoROB-tolkach_esca.plant-pathology-2021
Description
Dataset from the Plant Pathology 2021 (FGVC8) Challenge.
'
For Plant Pathology 2021-FGVC8, we have significantly increased the number of foliar disease images and added additional disease categories. This year’s dataset contains approximately 23,000 high-quality RGB images of apple foliar diseases, including a large expert-annotated disease dataset. This dataset reflects real field scenarios by representing non-homogeneous backgrounds of leaf images taken at different… See the full description on the dataset page: https://huggingface.co/datasets/wuhuhuhu123/plant-pathology-2021.Mobile_path_passability_dataset
Mobile Path Passability Dataset
Описание
Датасет предназначен для экспериментов по сегментации свободного пространства и препятствий на кадрах, снятых с монокулярной RGB-камеры смартфона. Практический сценарий связан с предварительной оценкой проходимости локального пути по изображению от первого лица для мобильной платформы, ассистивного устройства или навигационной системы.
Кадры получены из собственных видеозаписей, снятых в помещениях и на улице. В набор вошли… See the full description on the dataset page: https://huggingface.co/datasets/VasilchikovAV/Mobile_path_passability_dataset.interaction-readiness-detection-dataset-frame-path-version
Interaction Readiness Dataset (Public version)
This repository contains person-level interaction-readiness annotations derived from the AVIDAR, JRDB, and SSUP-HRI datasets.
Each row represents one target person in one video frame. The row contains the complete frame, the target person's bounding box, and the corresponding interaction-readiness label.
This public repository contains the processed interaction-readiness annotations and does not redistribute the original source… See the full description on the dataset page: https://huggingface.co/datasets/marilynchahine1/interaction-readiness-detection-dataset-frame-path-version.