# URO

Source: [URO](<https://www.sota2.com/research/dataset/uro>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Benchmarks

Page 1 of 10. This is an index page, not the full collection.

- [Next index page](<https://www.sota2.com/research/dataset/uro.md?page=2>): Follow this link to discover more pages.

- [Image Classification on EuroSAT](<https://www.sota2.com/research/sota/image-classification-on-eurosat.md>): Image Classification; EuroSAT.

- [Image Classification on EuroSAT (Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-accuracy.md>): Image Classification; EuroSAT.

- [Image Classification on EuroSAT (test)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-test.md>): Image Classification; EuroSAT (test).

- [Image Classification on Vision Multi-task Suite (SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD)](<https://www.sota2.com/research/sota/image-classification-on-vision-multi-task-suite-sun397-cars-resisc45-eurosat-svhn-gtsrb-mnist-dtd.md>): Image Classification; Vision Multi-task Suite (SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD).

- [Fine-grained classification on EuroSAT](<https://www.sota2.com/research/sota/fine-grained-classification-on-eurosat.md>): Fine-grained classification; EuroSAT.

- [Image Classification on SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD (test)](<https://www.sota2.com/research/sota/image-classification-on-sun397-cars-resisc45-eurosat-svhn-gtsrb-mnist-dtd-test.md>): Image Classification; SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD (test).

- [Image Classification on 11 Downstream Datasets (ImageNet, Flowers102, DTD, OxfordPets, StanfordCars, UCF101, Caltech101, Food101, SUN397, FGVC-Aircraft, EuroSAT) (test)](<https://www.sota2.com/research/sota/image-classification-on-11-downstream-datasets-imagenet-flowers102-dtd-oxfordpets-stanfordcars-ucf101-caltech101-food101-sun397-fgvc-aircraft-eurosat-test.md>): Image Classification; 11 Downstream Classification Datasets (ImageNet, Flowers102, DTD, OxfordPets, StanfordCars, UCF101, Caltech101, Food101, SUN397, FGVC-Aircraft, EuroSAT) standard (test).

- [Few-shot Classification on EuroSAT](<https://www.sota2.com/research/sota/few-shot-classification-on-eurosat.md>): Few-shot classification; EuroSAT.

- [Image Classification on EuroSAT (Base Accuracy, Novel Accuracy, HM)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-base-accuracy-novel-accuracy-hm.md>): Image Classification; EuroSAT.

- [Image Classification Base-to-Novel Generalization on 11 Datasets Average](<https://www.sota2.com/research/sota/image-classification-base-to-novel-generalization-on-11-datasets-average.md>): Image Classification; Average of 11 datasets (ImageNet, Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101) Base-to-Novel Generalization.

- [Image Classification on EuroSAT (Top-1 Accuracy and Delta)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-top-1-accuracy-and-delta.md>): Image Classification; EuroSAT.

- [Image Classification on 8 Vision Benchmarks (SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD)](<https://www.sota2.com/research/sota/image-classification-on-8-vision-benchmarks-sun397-cars-resisc45-eurosat-svhn-gtsrb-mnist-dtd.md>): Visual Classification; 8 Vision Tasks (SUN397, Stanford Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD).

- [Image Classification on EuroSAT Base-to-New](<https://www.sota2.com/research/sota/image-classification-on-eurosat-base-to-new.md>): Image Classification; EuroSAT Base-to-New.

- [5-way 1-shot Classification on CD-FSL Subset (test)](<https://www.sota2.com/research/sota/5-way-1-shot-classification-on-cd-fsl-subset-test.md>): 5-way 1-shot Classification; CD-FSL ISIC, EuroSAT, CropDisease, ChestX (test).

- [Speech Translation Metric Evaluation on Europarl-ST (test)](<https://www.sota2.com/research/sota/speech-translation-metric-evaluation-on-europarl-st-test.md>): Speech Translation Metric Evaluation; Europarl-ST (test).

- [Classification on EuroSAT (accuracy metric)](<https://www.sota2.com/research/sota/classification-on-eurosat-accuracy-metric.md>): Classification; EuroSAT.

- [5-way 5-shot Classification on CD-FSL Subset (ISIC, EuroSAT, CropDisease, ChestX) (test)](<https://www.sota2.com/research/sota/5-way-5-shot-classification-on-cd-fsl-subset-isic-eurosat-cropdisease-chestx-test.md>): 5-way 5-shot Classification; CD-FSL (ISIC, EuroSAT, CropDisease, ChestX) (test).

- [Base-to-Novel Generalization on EuroSAT](<https://www.sota2.com/research/sota/base-to-novel-generalization-on-eurosat.md>): Base-to-Novel Generalization; EuroSAT.

- [Speech Translation Evaluation Correlation on Europarl-ST](<https://www.sota2.com/research/sota/speech-translation-evaluation-correlation-on-europarl-st.md>): Speech Translation Evaluation Correlation; Europarl-ST.

- [Federated Few-shot Image Classification on CIFAR10, CIFAR100, EuroSAT, Tiny-ImageNet, OxfordPet, Flower102, Caltech101, Caltech256, Food101 Local classes](<https://www.sota2.com/research/sota/federated-few-shot-image-classification-on-cifar10-cifar100-eurosat-tiny-imagenet-oxfordpet-flower102-caltech101-caltech256-food101-local-classes.md>): Federated Few-shot Image Classification; CIFAR10, CIFAR100, EuroSAT, Tiny-ImageNet, OxfordPet, Flower102, Caltech101, Caltech256, Food101 Local classes.

- [Visual-Inertial Odometry on EuRoC (All sequences)](<https://www.sota2.com/research/sota/visual-inertial-odometry-on-euroc-all-sequences.md>): Visual-Inertial Odometry; EuRoC (All sequences).

- [Few-shot Image Classification on 11 CLIP Target Datasets](<https://www.sota2.com/research/sota/few-shot-image-classification-on-11-clip-target-datasets.md>): Few-shot Image Classification; 11 datasets average CLIP-based (ImageNet, Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101).

- [Image Classification on 10 Fine-Grained Recognition Datasets (test)](<https://www.sota2.com/research/sota/image-classification-on-10-fine-grained-recognition-datasets-test.md>): Image Classification; 10 fine-grained recognition datasets (Aircraft, Caltech, Cars, DTD, EuroSAT, Flower, Food101, Pets, SUN397, UCF101) (test).

- [Image Classification on EUROSAT (Accuracy %)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-accuracy-percent.md>): Image Classification; EUROSAT.

- [Visual SLAM on EuRoC (All Sequences)](<https://www.sota2.com/research/sota/visual-slam-on-euroc-all-sequences.md>): Visual SLAM; EuRoC (All Sequences).

- [Spike Sequence Classification on NeuroMorse](<https://www.sota2.com/research/sota/spike-sequence-classification-on-neuromorse.md>): Spike Sequence Classification; NeuroMorse.

- [Image Classification on EuroSAT (Top-1 Clean Accuracy, Top-1 Robust Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-top-1-clean-accuracy-top-1-robust-accuracy.md>): Image Classification; EuroSAT.

- [Image Classification on ImageNet to 10 Target Datasets (test)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-to-10-target-datasets-test.md>): Image Classification; ImageNet to 10 Target Datasets (Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101) (test).

- [5-way Classification on EuroSat (K-shot evaluation)](<https://www.sota2.com/research/sota/5-way-classification-on-eurosat-k-shot-evaluation.md>): 5-way Classification; EuroSat.

- [Tracking on Strided EuRoC](<https://www.sota2.com/research/sota/tracking-on-strided-euroc.md>): Tracking; Strided EuRoC.

- [Error Detection on EuroSAT](<https://www.sota2.com/research/sota/error-detection-on-eurosat.md>): Error Detection; EuroSAT.

- [Satellite Image Classification on EuroSAT](<https://www.sota2.com/research/sota/satellite-image-classification-on-eurosat.md>): Satellite Image Classification; EuroSAT.

- [VIO Initialization on EuRoC (All sequences)](<https://www.sota2.com/research/sota/vio-initialization-on-euroc-all-sequences.md>): VIO Initialization; EuRoC (All sequences).

- [Image Classification on ImageNet and 10 Target Datasets (1-shot)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-and-10-target-datasets-1-shot.md>): Image Classification; ImageNet, Caltech101, DTD, EuroSAT, FGVCAircraft, Food101, OxfordFlowers, OxfordPets, StanfordCars, SUN397, UCF101 1-shot.

- [Image Classification on EuroSAT (HM, Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-hm-accuracy.md>): Image Classification; EuroSAT.

- [Land-cover classification on EuroSAT](<https://www.sota2.com/research/sota/land-cover-classification-on-eurosat.md>): Land-cover classification; EuroSAT.

- [Image Classification on 11 Downstream Datasets (ImageNet, SUN397, FGVC Aircraft, EuroSAT, Stanford Cars, Food-101, Oxford-IIIT Pets, Oxford Flowers 102, Caltech101, DTD, UCF101)](<https://www.sota2.com/research/sota/image-classification-on-11-downstream-datasets-imagenet-sun397-fgvc-aircraft-eurosat-stanford-cars-food-101-oxford-iiit-pets-oxford-flowers-102-caltech101-dtd-ucf101.md>): Image Classification; 11 Classification Datasets (ImageNet, SUN397, FGVC Aircraft, EuroSAT, Stanford Cars, Food-101, Oxford-IIIT Pets, Oxford Flowers 102, Caltech101, DTD, UCF101).

- [Task Addition on 8 classification datasets (Cars, DTD, EuroSAT, GTSRB, MNIST, RESISC45, SUN397, SVHN) (test)](<https://www.sota2.com/research/sota/task-addition-on-8-classification-datasets-cars-dtd-eurosat-gtsrb-mnist-resisc45-sun397-svhn-test.md>): Task Addition; 8 classification datasets (Cars, DTD, EuroSAT, GTSRB, MNIST, RESISC45, SUN397, SVHN) (test).

- [Binary Classification on Neuropeptide (NeuroPID)](<https://www.sota2.com/research/sota/binary-classification-on-neuropeptide-neuropid.md>): Binary classification; Neuropeptide (NeuroPID).

- [Utterance Analysis on Toronto NeuroFace Only Audio (test)](<https://www.sota2.com/research/sota/utterance-analysis-on-toronto-neuroface-only-audio-test.md>): Utterance Analysis; Toronto NeuroFace Only Audio (test).

- [Utterance Analysis on Toronto NeuroFace Only Video (test)](<https://www.sota2.com/research/sota/utterance-analysis-on-toronto-neuroface-only-video-test.md>): Utterance Analysis; Toronto NeuroFace Only Video (test).

- [Utterance Analysis on Toronto NeuroFace (Speech Videos) (test)](<https://www.sota2.com/research/sota/utterance-analysis-on-toronto-neuroface-speech-videos-test.md>): Utterance Analysis; Toronto NeuroFace (Speech Videos) (test).

- [Non-speech video assessment on Toronto NeuroFace non-speech videos (test)](<https://www.sota2.com/research/sota/non-speech-video-assessment-on-toronto-neuroface-non-speech-videos-test.md>): Non-speech video assessment; Toronto NeuroFace non-speech videos (test).

- [Image Classification on 9-Dataset Aggregate (CIFAR10, CIFAR100, EuroSAT, OxfordPet, Flowers102, Food101, SUN397, DTD, Caltech101)](<https://www.sota2.com/research/sota/image-classification-on-9-dataset-aggregate-cifar10-cifar100-eurosat-oxfordpet-flowers102-food101-sun397-dtd-caltech101.md>): Image Classification; Aggregate of 9 benchmarks (CIFAR10, CIFAR100, EuroSAT, OxfordPet, Flowers102, Food101, SUN397, DTD, Caltech101) Full-data.

- [Few-shot Image Classification on 9 Benchmark Aggregate (CIFAR10, EuroSAT, OxfordPet, Flowers102, Food101, SUN397, DTD, Caltech101)](<https://www.sota2.com/research/sota/few-shot-image-classification-on-9-benchmark-aggregate-cifar10-eurosat-oxfordpet-flowers102-food101-sun397-dtd-caltech101.md>): Image Classification; Aggregate of 9 benchmarks (CIFAR10, CIFAR100, EuroSAT, OxfordPet, Flowers102, Food101, SUN397, DTD, Caltech101) Few-shot.

- [Image Classification on SUN397, Cars, EuroSAT, GTSRB, MNIST, DTD (test)](<https://www.sota2.com/research/sota/image-classification-on-sun397-cars-eurosat-gtsrb-mnist-dtd-test.md>): Image Classification; SUN397, Cars, EuroSAT, GTSRB, MNIST, DTD Seen Tasks (test).

- [Reading Comprehension on Belebele 28 European languages](<https://www.sota2.com/research/sota/reading-comprehension-on-belebele-28-european-languages.md>): Reading Comprehension; Belebele 28 European languages.

- [Multi-Task Incremental Learning on MTIL Suite (11 Datasets)](<https://www.sota2.com/research/sota/multi-task-incremental-learning-on-mtil-suite-11-datasets.md>): Multi-Task Incremental Learning; MTIL Aircraft, Caltech101, CIFAR100, DTD, EuroSAT, Flowers, Food, MNIST, OxfordPet, Cars, SUN397.

- [Image Classification on EuroSAT few-shot](<https://www.sota2.com/research/sota/image-classification-on-eurosat-few-shot.md>): Image Classification; EuroSAT few-shot.

- [Image Classification on StanfordCars, DTD, EuroSAT, GTSRB, RESISC45, SUN397, SVHN](<https://www.sota2.com/research/sota/image-classification-on-stanfordcars-dtd-eurosat-gtsrb-resisc45-sun397-svhn.md>): Image Classification; StanfordCars, DTD, EuroSAT, GTSRB, RESISC45, SUN397, SVHN.

- [IMU-based state estimation on EuRoC MAV](<https://www.sota2.com/research/sota/imu-based-state-estimation-on-euroc-mav.md>): IMU-based state estimation; EuRoC MAV.

- [Image-to-image retrieval on EuroSAT](<https://www.sota2.com/research/sota/image-to-image-retrieval-on-eurosat.md>): Image-to-image retrieval; EuroSAT.

- [SAE Activation on Neuronpedia SAE features entropy 3-9](<https://www.sota2.com/research/sota/sae-activation-on-neuronpedia-sae-features-entropy-3-9.md>): SAE Activation; Neuronpedia SAE features entropy 3-9.

- [5-way Classification on EuroSAT (test)](<https://www.sota2.com/research/sota/5-way-classification-on-eurosat-test.md>): 5-way classification; EuroSAT (test).

- [5-way 5-shot Few-Shot Classification on BSCD-FSL Suite 1.0 (test)](<https://www.sota2.com/research/sota/5-way-5-shot-few-shot-classification-on-bscd-fsl-suite-1-0-test.md>): 5-way 5-shot Few-Shot Classification; BSCD-FSL Suite (ChestX, ISIC, EuroSAT, CropDisease, CUB, Cars, Places, Plantae) 1.0 (test).

- [Image Classification on 8-Vision benchmark (EuroSAT, GTSRB, SVHN, RESISC45, DTD, Cars, MNIST, SUN397) (test)](<https://www.sota2.com/research/sota/image-classification-on-8-vision-benchmark-eurosat-gtsrb-svhn-resisc45-dtd-cars-mnist-sun397-test.md>): Image Classification; 8-Vision benchmark (EuroSAT, GTSRB, SVHN, RESISC45, DTD, Cars, MNIST, SUN397) (test).

- [Fine-grained classification on EuroSAT (novel classes)](<https://www.sota2.com/research/sota/fine-grained-classification-on-eurosat-novel-classes.md>): Fine-grained classification; EuroSAT (novel classes).

- [5-way 1-shot Few-Shot Classification on BSCD-FSL Suite 1.0 (test)](<https://www.sota2.com/research/sota/5-way-1-shot-few-shot-classification-on-bscd-fsl-suite-1-0-test.md>): 5-way 1-shot Few-Shot Classification; BSCD-FSL Suite (ChestX, ISIC, EuroSAT, CropDisease, CUB, Cars, Places, Plantae) 1.0 (test).

- [Fine-grained classification on EuroSAT base classes](<https://www.sota2.com/research/sota/fine-grained-classification-on-eurosat-base-classes.md>): Fine-grained classification; EuroSAT base classes.

- [Cross-domain few-shot classification on EuroSAT](<https://www.sota2.com/research/sota/cross-domain-few-shot-classification-on-eurosat.md>): Cross-domain few-shot classification; EuroSAT.

- [Image Classification on 11-Dataset Suite + ImageNet (Few-shot CLIP RN50)](<https://www.sota2.com/research/sota/image-classification-on-11-dataset-suite-plus-imagenet-few-shot-clip-rn50.md>): Image Classification; Classification Suite (OxfordPets, EuroSAT, Caltech101, DTD, FGVCAircraft, Flowers102, UCF101, Food101, SUN397, StanfordCars, Imagenet) Few-shot CLIP RN50 pre-trained (test).

- [Classification on EuroSAT (Top-1 Accuracy)](<https://www.sota2.com/research/sota/classification-on-eurosat-top-1-accuracy.md>): Classification; EuroSAT.

- [Image Classification on EuroSAT (Accuracy and ECE)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-accuracy-and-ece.md>): Image Classification; EuroSAT.

- [Brain Disorder Classification on Neurocon](<https://www.sota2.com/research/sota/brain-disorder-classification-on-neurocon.md>): Brain disorder classification; Neurocon.

- [Medical Calculation and Tool Use on MedMCP-Calc Neurology & Psychiatry](<https://www.sota2.com/research/sota/medical-calculation-and-tool-use-on-medmcp-calc-neurology-and-psychiatry.md>): Medical Calculation and Tool Use; MedMCP-Calc Neurology & Psychiatry.

- [5-way Few-Shot Image Classification on BSCD-FSL Subset (ISIC, EuroSAT, CropDiseases, ChestX)](<https://www.sota2.com/research/sota/5-way-few-shot-image-classification-on-bscd-fsl-subset-isic-eurosat-cropdiseases-chestx.md>): 5-way Few-Shot Image Classification; BSCD-FSL ISIC2018, EuroSAT, CropDiseases, ChestX.

- [Pathological speech intelligibility assessment on NeuroVoz Sentence](<https://www.sota2.com/research/sota/pathological-speech-intelligibility-assessment-on-neurovoz-sentence.md>): Pathological speech intelligibility assessment; NeuroVoz Sentence.

- [Air Quality Forecasting on Europe regional air quality](<https://www.sota2.com/research/sota/air-quality-forecasting-on-europe-regional-air-quality.md>): Air Quality Forecasting; Europe regional air quality.

- [Spatial-temporal calibration on EuRoC](<https://www.sota2.com/research/sota/spatial-temporal-calibration-on-euroc.md>): Spatial-temporal calibration; EuRoC.

- [Binary decision task on EVS Europe (test)](<https://www.sota2.com/research/sota/binary-decision-task-on-evs-europe-test.md>): Binary decision task; EVS Europe (test).

- [Classification on EuroSAT (test)](<https://www.sota2.com/research/sota/classification-on-eurosat-test.md>): Classification; EuroSAT (test).

- [Node Classification on Europe](<https://www.sota2.com/research/sota/node-classification-on-europe.md>): Node-level classification; Europe.

- [Image Classification on EuroSAT (Standard Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-standard-accuracy.md>): Image Classification; EuroSAT.

- [Image Classification on EuroSAT (Base, New, HM metrics)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-base-new-hm-metrics.md>): Image Classification; EuroSAT.

- [Image Classification on Cross-domain Few-Shot Learning Suite (CUB, Cars, Places, Plantae, EuroSAT, CropDisease) (test)](<https://www.sota2.com/research/sota/image-classification-on-cross-domain-few-shot-learning-suite-cub-cars-places-plantae-eurosat-cropdisease-test.md>): Image Classification; Cross-domain Few-Shot Learning Suite (CUB, Cars, Places, Plantae, EuroSAT, CropDisease) (test).

- [Node Classification on Deezer Europe (50% 25% 25% random)](<https://www.sota2.com/research/sota/node-classification-on-deezer-europe-50-percent-25-percent-25-percent-random.md>): Node Classification; Deezer Europe (50% 25% 25% random).

- [Multi-domain Task-Incremental Learning on MTIL Suite (5-shot, test)](<https://www.sota2.com/research/sota/multi-domain-task-incremental-learning-on-mtil-suite-5-shot-test.md>): Multi-domain Task-Incremental Learning; Aircraft, Caltech101, CIFAR100, DTD, EuroSAT, Flowers, Food, MNIST, OxfordPet, Cars, SUN397 (MTIL suite) 5-shot 1.0 (test).

- [Image Classification on EuroSAT (4-shot)](<https://www.sota2.com/research/sota/image-classification-on-eurosat-4-shot.md>): Image Classification; EuroSAT 4-shot.

- [Sparse Tangent Portfolio Optimization on EuroStoxx50 (out-of-sample)](<https://www.sota2.com/research/sota/sparse-tangent-portfolio-optimization-on-eurostoxx50-out-of-sample.md>): Sparse Tangent Portfolio Optimization; EuroStoxx50 (out-of-sample).

- [Automatic Speech Recognition on Europarl-ST](<https://www.sota2.com/research/sota/automatic-speech-recognition-on-europarl-st.md>): Automatic Speech Recognition; Europarl-ST.
