datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/sunghong/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/arekborucki/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/4141ms/CADS-dataset.CAD-TCM
CAD-TCM
Dataset Summary
CAD-TCM is a single-source continual anomaly detection benchmark scenario for predictive maintenance in steel manufacturing. It is derived from TCM: Benchmark Datasets for Predictive Maintenance in Steel Manufacturing, a synthetic dataset generated from a physics-based mathematical model of a 5-stand tandem cold mill (TCM), and converts the original tabular sensor data into a sequence of concept-grouped tasks.
The dataset contains 108,872… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-TCM.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT… See the full description on the dataset page: https://huggingface.co/datasets/mrmrx/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/novcor/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/jensbirk/CADS-dataset.CADS-dataset
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
Overview
CADS is a robust, fully automated framework for segmenting 167 anatomical structures in Computed Tomography (CT), spanning from head to knee regions across diverse anatomical systems.
The framework consists of two main components:
CADS-dataset:
22,022 CT volumes with complete annotations for 167 anatomical structures.
Most extensive whole-body CT dataset… See the full description on the dataset page: https://huggingface.co/datasets/WY-0206/CADS-dataset.CAD-MiniBooNe
CAD-MiniBooNe
Dataset Summary
CAD-MiniBooNe is a single-source continual anomaly detection benchmark scenario derived from the MiniBooNE Particle Identification dataset. It recasts the dataset's original binary classification task (distinguishing electron-neutrino "signal" events from muon-neutrino "background" events) as an anomaly detection problem and converts the tabular data into a sequence of concept-grouped tasks.
The dataset contains 66,116 samples, 5… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-MiniBooNe.CAD-CICIDS2017
CAD-CICIDS2017
Dataset Summary
CAD-CICIDS2017 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-IDS2017 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,076,848 samples, 6 tasks, and has a reported 18.77% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:
continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2017.CAD-CICIDS2018
CAD-CICIDS2018
Dataset Summary
CAD-CICIDS2018 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CSE-CIC-IDS2018 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,590,771 samples, 5 tasks, and has a reported 28.04% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:
continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2018.CAD-Scania
CAD-Scania
Dataset Summary
CAD-Scania is a single-source continual anomaly detection benchmark scenario for predictive maintenance in the automotive/industrial domain. It is derived from the SCANIA Component X Dataset, a real-world multivariate time-series dataset of anonymized engine-component operational readouts, repair records, and specifications from SCANIA trucks, and converts it into a sequence of concept-grouped tasks.
The dataset contains 51,084 samples… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-Scania.cadquery-creating-basic-2d-and-3d-formsCAD-CICUNSW
CAD-CICUNSW
Dataset Summary
CAD-CICUNSW is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-UNSW-NB15 / UNSW-NB15 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 1,084,928 samples, 5 tasks, and has a reported 12.76% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICUNSW.cycling-cadence-speed-development
Cycling Cadence, Speed and Development – Reference Dataset
This dataset provides a reference table describing the relationship between
cycling cadence (RPM), gearing, and resulting speed and pace across multiple
common road bike setups.
The dataset includes derived metrics such as:
Gear development (meters per crank revolution)
Speed (km/h)
Pace (min/km and min/mile)
It is intended for educational use, data analysis, visualization, and sports
science examples.
Additional… See the full description on the dataset page: https://huggingface.co/datasets/kbaastrup/cycling-cadence-speed-development.cadir-kiralama-hizmetleri-ve-avantajlariKirala360, en uygun fiyatlarla hızlı ve güvenilir çadır kiralama hizmeti sunmaktadır. Türkiye'nin önde gelen sorumluluk sahibi firmalarından biri olarak, etkinliklerinizi sorunsuz ve keyifli hale getirmek için profesyonel çözümler üretmektedir. Kiralama sektöründe çığır açan Kirala360, organizasyonlar için farklı boyutlarda ve türlerde çadırlar sunarak her türlü etkinlik için uygun seçenekler yaratmaktadır. Çadır kiralama hizmetimiz, hem sade organizasyonlar hem de büyük etkinlikler için… See the full description on the dataset page: https://huggingface.co/datasets/sociallifethree/cadir-kiralama-hizmetleri-ve-avantajlari.