datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vessel-detection-labeled-patches
Vessel Detection Labeled Patches
Validated/confirmed satellite image patches exported from the military-boat-detection review workflow.
Contents
images/: patch images.
metadata.csv: one row per patch, compatible with Hugging Face image-folder metadata.
metadata.jsonl: rich patch metadata with nested objects.
annotations.csv: one row per vessel annotation.
annotations.jsonl: JSONL version of the object annotations.
labels/: YOLO-format labels. Hard negatives have empty… See the full description on the dataset page: https://huggingface.co/datasets/DefendIntelligence/vessel-detection-labeled-patches.idc-patchespatches300-2lidc-idri-patchesA dataset of patches (most 64x64 pixels from the LIDC-IDRI CT scans). These are 16-bit images with a 1024 shift from the original HU values.
The dataset is incomplete as of 2024-12-02. If you find it useful, I will add more patches.
---
license: apache-2.0
task_categories:
- image-classification
language:
- en
pretty_name: LIDC IDRI patches for classification
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: annotation_id… See the full description on the dataset page: https://huggingface.co/datasets/ykeselman/lidc-idri-patches.sentinel-lfm-mining-patches
sentinel-lfm — illegal-mining single-frame patches
128px RGB patches cropped from the Roboflow illegal-mining dataset, labelled
mine (1) / no-mine (0). Split by source image (no leakage) into
train/val/test. Provided as PNGs + vlm_sft-format JSONL (one image + prompt
-> JSON answer) so it drops straight into VLM fine-tuning.
split
pos
neg
total
train
1410
555
1965
val
303
66
369
test
303
116
419
RGB only (no multispectral). Each JSONL row is a single-turn VLM… See the full description on the dataset page: https://huggingface.co/datasets/ASTRALK/sentinel-lfm-mining-patches.Airbus-Wind-Turbines-Patches
Dataset Card for "Airbus-Wind-Turbines-Patches"
Split Information
This HuggingFace dataset repository contains just the Validation split.
Licensing Information
CC BY-NC-SA 4.0
Citation Information
Airbus Wind Turbine Patches
@misc{kaggle_awtp,
author = {Airbus DS GEO S.A.},
title = {Airbus Wind Turbine Patches},
howpublished = {\url{https://www.kaggle.com/datasets/airbusgeo/airbus-wind-turbines-patches}},
year = {2021},
version = {1.0}
}
ALL-IDB-Patches
ALL-IDB Patches
MATLAB source code for creating image patches and labels used in the paper “ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning”, presented at ICASSP Workshops 2023.
The repository converts annotated ALL-IDB1 whole-slide microscope images into fixed-size overlapping patches, preserving the position of white blood cell centroids and generating patch-level labels for probable lymphoblasts… See the full description on the dataset page: https://huggingface.co/datasets/AngeloUNIMI/ALL-IDB-Patches.bach-breast-histopathology-he-staining-patchesdeep_pavements_surface_patchesA data-only mirror of https://github.com/kauevestena/deep_pavements_dataset
patches-chest-xray-croppedflair_axial_patches
Dataset Card for "flair_axial_patches"
More Information needed
coffee_rocole_original_patches
Dataset Card for coffee_rocole_original_patches
This is a FiftyOne dataset with 700 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("pjramg/coffee_rocole_original_patches")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/pjramg/coffee_rocole_original_patches.patches-datasetbatch_indexing_machine_patchesbach-breast-histopathology-he-staining-patches-512x512SSID_Patchespatches300patches_Maskpatches-chest-xray2016-6-patches-May282016-6-patches-May28-2COCO-2largeobj-Patches2016-6-patches-May28-32016-6-patches-May28-4panda-patches
Patches for PANDA dataset
HDF5 files containing coordinates of 128x128 micrometer patches, made with the CLAM toolkit.
HuggingFace does not allow directories with more than 10,000 files. For this reason, we have made .tar.gz files with patches and masks.
Please extract these files to access the patch coordinates and masks.
tar xzf patches.tar.gz
tar xzf masks.tar.gz
patches-256-5