datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MR-RATE-coreg
MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging
This is the MR-RATE-coreg repository, part of the MR-RATE dataset release. It contains co-registered MRI volumes in which all imaging volumes within each study have been spatially aligned to a common T1-weighted reference frame. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE-coreg.pentimento-core
Pentimento Core, v1.0.0
This is a JPEG-decompressed spatial corpus. It is NOT comparable to BOSSbase, whose covers were never JPEG compressed. Detector numbers measured here and numbers measured on BOSSbase cannot be placed in the same table.
A steganalysis corpus of 10,000 permissively licensed cover
photographs and 344,357 matched stego pairs across 35 arms,
where every image carries its own licence and every file carries its own
checksum. A further 4 arms hold the 38,119… See the full description on the dataset page: https://huggingface.co/datasets/the-malware-files/pentimento-core.core-five
🌐 core-five: Multi-Modal Geospatial Dataset with Perfectly Harmonized Time & Space for Foundation Models
core-five is a pioneering dataset built for next-gen multi-modal vision models, unifying Earth Observation data from 5 essential sensors into perfectly aligned spatiotemporal datacubes.
🛰️ Sentinel-2 (S2) – Optical, 10m resolution, 2-4… See the full description on the dataset page: https://huggingface.co/datasets/gajeshladhar/core-five.drill-core-image-dataset
Dataset Card for Drill Core Image Dataset (DCID)
Dataset Details
Dataset Description
The Drill Core Image Dataset (DCID) is a large-scale benchmark designed for lithology classification based on RGB core images. It provides two primary versions:
DCID-7: 7 lithology categories with 5,000 images per class.
DCID-35: 35 lithology categories with 1,000 images per class.
All original images are 512×512 pixels in resolution. Each category is split into… See the full description on the dataset page: https://huggingface.co/datasets/168sir/drill-core-image-dataset.MixCount
The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
Corentin Dumery* · Niki Amini-Naieni* · Shervin Naini · Pascal Fua
EPFL · University of Oxford · Northwestern University · (* equal contribution)
MixCount is a large-scale synthetic dataset for mixed-object, open-vocabulary counting, the setting that dominates industrial inspection and sorting, but breaks current counting models. Our automatic generation pipeline… See the full description on the dataset page: https://huggingface.co/datasets/CorentinDumery/MixCount.core
Cystoscopy Core Benchmark
Raw-source core dataset for cystoscopy image and video classification. Contains
cystoscopy videos with bounding-box annotations, and images with lesion-level
labels, grades, and stages. Designed as the source-of-truth from which derived
training datasets (v1, v2, G) are built.
Sources
The dataset aggregates three publicly available cystoscopy datasets:
Source
Origin
Modality
Patients
Images/Frames
Type
B
B_dataset
Video clips… See the full description on the dataset page: https://huggingface.co/datasets/milkyroad/core.MyoQuant-SDH-Data
Dataset Card for MyoQuant SDH Data
Dataset Summary
This dataset contains images of individual muscle fiber used to train MyoQuant SDH Model. The goal of these data is to train a tool to classify SDH stained muscle fibers depending on the presence of mitochondria repartition anomalies. A pathological feature useful for diagnosis and classification in patient with congenital myopathies.
Dataset Structure
Data Instances and Splits
A total… See the full description on the dataset page: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data.drill-core-image-dataset
Dataset Card for Drill Core Image Dataset (DCID)
Dataset Details
Dataset Description
The Drill Core Image Dataset (DCID) is a large-scale benchmark designed for lithology classification based on RGB core images. It provides two primary versions:
DCID-7: 7 lithology categories with 5,000 images per class.
DCID-35: 35 lithology categories with 1,000 images per class.
All original images are 512×512 pixels in resolution. Each category is split into… See the full description on the dataset page: https://huggingface.co/datasets/Dengml/drill-core-image-dataset.core_sample_image_data
🖼 Soil Core Sample Image Data
This dataset contains 3604 labeled images of soil core samples for image classification.
📌 Dataset Summary
Images: Squared images (300x300 pixels), cropped from full-scale high-resolution images of soil core samples.
Labels: hb, nb (terms according to DIN 4023:2006-02).
Format: Hugging Face datasets.Dataset with Image() feature.
Split: Train / val / test split is performed with a ratio of 0.8 / 0.1 / 0.1, whereas the samples are stratified… See the full description on the dataset page: https://huggingface.co/datasets/grano1/core_sample_image_data.drill-core-image-dataset
Dataset Card for Drill Core Image Dataset (DCID)
Dataset Details
Dataset Description
The Drill Core Image Dataset (DCID) is a large-scale benchmark designed for lithology classification based on RGB core images. It provides two primary versions:
DCID-7: 7 lithology categories with 5,000 images per class.
DCID-35: 35 lithology categories with 1,000 images per class.
All original images are 512×512 pixels in resolution. Each category is split into… See the full description on the dataset page: https://huggingface.co/datasets/BiplabSardar/drill-core-image-dataset.drill-core-image-dataset
Dataset Card for Drill Core Image Dataset (DCID)
Dataset Details
Dataset Description
The Drill Core Image Dataset (DCID) is a large-scale benchmark designed for lithology classification based on RGB core images. It provides two primary versions:
DCID-7: 7 lithology categories with 5,000 images per class.
DCID-35: 35 lithology categories with 1,000 images per class.
All original images are 512×512 pixels in resolution. Each category is split into… See the full description on the dataset page: https://huggingface.co/datasets/zhangjw0110/drill-core-image-dataset.