datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
komatsu-diagrams-04dsd_subject_imageskomatsu-diagrams-05real_world_samplekomatsu-diagrams-07komatsu-diagrams-10komatsu-diagrams-15komatsu-diagrams-00dsd_dataFrom_Reasoning_Structure_to_the_Ancient_Problem_of_Primes
From Reasoning Structure to the Ancient Problem of Primes
Author: Zixi Li (Oz Lee)
Date: 2025
Publisher: Hugging Face
Citation
@misc{oz_lee_2025,
author = { Oz Lee },
title = { From_Reasoning_Structure_to_the_Ancient_Problem_of_Primes (Revision d9034a1) },
year = 2025,
url = { https://huggingface.co/datasets/OzTianlu/From_Reasoning_Structure_to_the_Ancient_Problem_of_Primes },
doi = { 10.57967/hf/7156 }… See the full description on the dataset page: https://huggingface.co/datasets/OzTianlu/From_Reasoning_Structure_to_the_Ancient_Problem_of_Primes.komatsu-diagrams-08komatsu-diagrams-02komatsu-diagrams-12komatsu-diagrams-03komatsu-diagrams-01komatsu-diagrams-09komatsu-diagrams-11dsd_data_fillkomatsu-diagrams-14komatsu-diagrams-06da3-giant-blind-spots
DA3-GIANT-1.1 Monocular Depth Estimation: A Taxonomy of Blind Spots
This dataset documents the systematic failure modes (blind spots) of the Depth Anything V2 (DA3-GIANT-1.1) model, an ~1B parameter Vision Transformer (ViT-Giant) based monocular depth estimation model.
While state-of-the-art models trained on massive synthetic and pseudo-labeled datasets show remarkable zero-shot generalization out-of-the-box, they still fail predictably in specific optical and geometric edge… See the full description on the dataset page: https://huggingface.co/datasets/X-prime/da3-giant-blind-spots.dsd_dpo_win_losekomatsu-diagrams-13multimodel_evalen-us-data-3PrimeDepth_inference
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage
Denis Zavadski* · Damjan Kalšan* · Carsten Rother
Computer Vision and Learning Lab,
IWR, Heidelberg University
*equal contribution
ACCV 2024
PrimeDepth is a diffusion-based monocular depth estimator which leverages the rich representation of the visual world stored within Stable Diffusion. The representation, termed preimage, is extracted in a single diffusion step from frozen Stable Diffusion 2.1 and… See the full description on the dataset page: https://huggingface.co/datasets/FangSen9000/PrimeDepth_inference.eval_OpenINGprimeirodatasetprimer_demo_ejemplo_ds_semantic
Dataset Card for primer_demo_ejemplo_ds_semantic
Dataset categories
Id
Name
Description
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name_1
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test
