Cover Image

NordFKB: a fine-grained benchmark dataset for geospatial AI in Norway

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jyhne, Sander Riisøen, Gupta, Aditya, Worsley, Ben, Andersen, Marianne, Oveland, Ivar, Nossum, Alexander Salveson
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MapAI: Precision in Building Segmentation
by: Jyhne, Sander Riisøen, et al.
Published: (2024)

A Contrastive Learning Scheme with Transformer Innate Patches
by: Jyhne, Sander Riisøen, et al.
Published: (2023)

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
by: Jyhne, Sander Riisøen, et al.
Published: (2025)

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
by: Brådland, Henrik, et al.
Published: (2025)

Classifying geospatial objects from multiview aerial imagery using semantic meshes
by: Russell, David, et al.
Published: (2024)

Ecological mapping with geospatial foundation models
by: Mahlasi, Craig, et al.
Published: (2026)

Comics Datasets Framework: Mix of Comics datasets for detection benchmarking
by: Vivoli, Emanuele, et al.
Published: (2024)

CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method
by: Ponomarchuk, Alexander, et al.
Published: (2024)

Extended OpenTT Games Dataset: A table tennis dataset for fine-grained shot type and point outcome
by: Abdul-Mahdi, Moamal Fadhil, et al.
Published: (2025)

FungiTastic: A multi-modal dataset and benchmark for image categorization
by: Picek, Lukas, et al.
Published: (2024)

Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset
by: Ahmed, Ammar, et al.
Published: (2024)

The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding
by: Bianchi, Lorenzo, et al.
Published: (2023)

Multi-modal learning for geospatial vegetation forecasting
by: Benson, Vitus, et al.
Published: (2023)

A large-scale image-text dataset benchmark for farmland segmentation
by: Tao, Chao, et al.
Published: (2025)

KidSat: satellite imagery to map childhood poverty dataset and benchmark
by: Sharma, Makkunda, et al.
Published: (2024)

A benchmark dataset for deep learning-based airplane detection: HRPlanes
by: Bakirman, Tolga, et al.
Published: (2022)

Comparing fine-grained and coarse-grained object detection for ecology
by: Tam, Jess, et al.
Published: (2024)

Fine-Grained Customized Fashion Design with Image-into-Prompt benchmark and dataset from LMM
by: Li, Hui, et al.
Published: (2025)

A benchmark multimodal oro-dental dataset for large vision-language models
by: Lv, Haoxin, et al.
Published: (2025)

A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy
by: Ghatwary, Noha, et al.
Published: (2026)

Lumbar spine segmentation in MR images: a dataset and a public benchmark
by: van der Graaf, Jasper W., et al.
Published: (2023)

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video
by: Barnard, Kevin, et al.
Published: (2025)

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
by: Tsesmelis, Theodore, et al.
Published: (2024)

Infusing fine-grained visual knowledge to Vision-Language Models
by: Ypsilantis, Nikolaos-Antonios, et al.
Published: (2025)

Is CLIP the main roadblock for fine-grained open-world perception?
by: Bianchi, Lorenzo, et al.
Published: (2024)

MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects
by: Chen, Yuzhen, et al.
Published: (2025)

Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale
by: Tulbure, Mirela G., et al.
Published: (2025)

CowScreeningDB: A public benchmark dataset for lameness detection in dairy cows
by: Ismail, Shahid, et al.
Published: (2024)

Staining normalization in histopathology: Method benchmarking using multicenter dataset
by: Khan, Umair, et al.
Published: (2025)

Specificity-aware reinforcement learning for fine-grained open-world classification
by: Angheben, Samuele, et al.
Published: (2026)

DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis
by: Lerouge, Julien, et al.
Published: (2024)

Modeling spectral filtering effects on color-matching functions: Implications for observer variability
by: Ragoo, Luvin Munish, et al.
Published: (2025)

Automatic dataset shift identification to support safe deployment of medical imaging AI
by: Roschewitz, Mélanie, et al.
Published: (2024)

A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
by: Sykas, Dimitrios, et al.
Published: (2022)

Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts
by: Wang, Puzuo, et al.
Published: (2024)

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
by: Garrucho, Lidia, et al.
Published: (2024)

FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
by: Mais, Lisa, et al.
Published: (2024)

3D Cloud reconstruction through geospatially-aware Masked Autoencoders
by: Girtsou, Stella, et al.
Published: (2025)

A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry
by: Di Vece, Chiara, et al.
Published: (2025)

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
by: Ging, Simon, et al.
Published: (2024)