flair
Datasets
All datasets matching “flair”FLAIR-HUB
FLAIR-HUB : Large-scale Multimodal Dataset for Land Cover and Crop Mapping
FLAIR-HUB builds upon and includes the FLAIR#1 and FLAIR#2 datasets, expanding them into a unified, large-scale, multi-sensor land-cover resource with very-high-resolution
annotations. Spanning over 2,500 km² of diverse French ecoclimates and landscapes, it features 63 billion hand-annotated pixels across 19 land-cover and
23 crop type classes.
The dataset integrates complementary data sources including… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/FLAIR-HUB.FLAIR-1-2
Dataset Card for FLAIR land-cover semantic segmentation
Context & Data
The hereby FLAIR (#1 and #2) dataset is sampled countrywide and is composed of over 20 billion annotated pixels of very high resolution aerial imagery at 0.2 m spatial resolution, acquired over three years and different months (spatio-temporal domains).
Aerial imagery patches consist of 5 channels (RVB-Near Infrared-Elevation) and have corresponding annotation (with 19 semantic classes or 13 for the… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/FLAIR-1-2.twinicl-bench
TwinICL
38 tasks, each with 132 underlying examples rendered in eight variants: 40,128 rows in total.
Each row contains only:
task: a readable task name.
variant: the text style or image palette.
input_text: the text input, or null for image examples.
input_image: the image input, or null for text examples.
answer: the expected text answer.
The eight variants are lowercase/comma, lowercase/semicolon, uppercase/comma, uppercase/semicolon, and images in neutral, warm, cool, and… See the full description on the dataset page: https://huggingface.co/datasets/lab-flair/twinicl-bench.flaird-raid-pan26flair
Federated Learning Annotated Image Repository (FLAIR): A large labelled image dataset for benchmarking in federated learning
FLAIR was published at NeurIPS 2022 (paper)
(Preferred) Benchmarking FLAIR is available in pfl-research (repo, paper).
The ml-flair repo contains a setup for benchmarking with TensorFlow Federated and notebooks for exploring data.
FLAIR is a large dataset of images that captures a number of characteristics encountered in federated learning (FL) and… See the full description on the dataset page: https://huggingface.co/datasets/apple/flair.b-FLAIR-spot
b-FLAIR-spot: bi-temporal extension of FLAIR in SPOT-6/7 modality
Dataset Description
b-FLAIR-spot is a temporal extension of the FLAIR dataset [1], mirroring b-FLAIR in SPOT-6/7 modality, focused on land cover classification in France. The dataset provides bi-temporal satellite image pairs with single-temporal semantic annotations.
Project page: https://xavibou.github.io/CDviaWTS/
Dataset Summary
Task: Semantic change detection via weak temporal… See the full description on the dataset page: https://huggingface.co/datasets/elliotvincent/b-FLAIR-spot.