datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.hescape-pyarrow
HESCAPE • PyArrow Format
HESCAPE (H&E + Spatial Contrastive Pretraining Benchmark) is a large-scale benchmark for multimodal learning in spatial transcriptomics.This repository hosts the PyArrow-formatted Hugging Face datasets for HESCAPE, organized by panel as dataset configs.
Available Configs (Panels)
This dataset repo exposes the following configs:
human-5k-panel
human-breast-panel
human-colon-panel
human-immuno-oncology-panel
human-lung-healthy-panel… See the full description on the dataset page: https://huggingface.co/datasets/Peng-AI/hescape-pyarrow.SPARK-2022
SPARK 2022 — Stream 1 (Spacecraft Detection)
Stream 1 of the SPARK 2022 dataset (SPAcecraft Recognition leveraging Knowledge
of the space environment): space-borne imagery of 10 spacecraft plus a debris
class, for object detection and classification. Each image contains exactly one
target annotated with a single bounding box and class label.
Dataset summary
Images
110,000 JPEG, 1024 × 1024, RGB
Annotations
1 bounding box + class per image
Classes… See the full description on the dataset page: https://huggingface.co/datasets/pengchengs/SPARK-2022.p3hw1-pen-detection
P3HW1 — Pen Detection (Binary) — 224×224
Purpose
Binary image classification: does the image contain a pen?
A compact dataset for course assignments and demos.
Dataset Composition
Original split (normalized to 224×224): 34 images
pen: 17
no pen: 17
Augmented split (also 224×224): 306 images
Contains the 34 resized originals plus 272 label‑preserving augmentations.
All 34 original images were student‑captured (17 pen, 17 no pen) under varied… See the full description on the dataset page: https://huggingface.co/datasets/0408happyfeet/p3hw1-pen-detection.spatial-datasets
Please note, since the dataset is under heavy development, any access requests won't be accepted at this moment.