water
Datasets
All datasets matching “water”artem-pour-waterThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
14
],
"names": [
"umi1_x",
"umi1_y",
"umi1_z",
"umi1_rx",
"umi1_ry",
"umi1_rz",
"umi1_gripper"… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/artem-pour-water.Water3D
Wat3R: Underwater 3D Geometry Learning
without Annotations
Jiangwei Ren,
Xingyu Jiang†,
Zijie Song,
Wei Xu,
Hongkai Lin,
Dingkang Liang
and Xiang Bai
Huazhong University of Science & Technology.(†) Corresponding author.
Abstract
Estimating 3D geometry in underwater environments presents unique challenges due to light attenuation, scattering, and
the absence of large-scale, high-quality 3D annotations. Pioneering methods rely on massive dense annotations… See the full description on the dataset page: https://huggingface.co/datasets/lsxi77777/Water3D.waterborne-coated-wood-defects
Waterborne Coated Wood Surface Defects
Mirror of a public image dataset of surface defects of waterborne paint sprayed on wood
products. Staged as a proxy/pretraining dataset for CoRe's Situational Control paint-inspection
work (core-lab/situational-control) — painted/coated surface captured on a real production
conveyor, though substrate is wood not metal.
Source
Paper: Nature Scientific Data, https://www.nature.com/articles/s41597-025-06443-1
Data: Zenodo… See the full description on the dataset page: https://huggingface.co/datasets/imaadd05/waterborne-coated-wood-defects.Flame-Waterfall-React
Flame-Waterfall-React: A Structured Data Synthesis Dataset for Multimodal React Code Generation
Flame-Waterfall-React is a dataset synthesized using the Waterfall-Model-Based Synthesis method, Advancing Vision-Language Models in Front-End Development via Data Synthesis. This dataset is designed to train vision-language models (VLMs) for React code generation from UI design mockups and specifications.
The Waterfall synthesis approach mimics real-world software development by… See the full description on the dataset page: https://huggingface.co/datasets/Flame-Code-VLM/Flame-Waterfall-React.cobotmagic_Sim_water_pouringATRNet-STAR
This is the official repository for the dataset “ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild”. If you find our work is useful, please give us a like 🌟 and cite our paper in the BibTex format at the end.
Confirmation of Terms of Use: By accessing and using this dataset, you agree to comply with the following terms and conditions:
Research-Only Use: The dataset shall be used exclusively for research purposes. Commercial… See the full description on the dataset page: https://huggingface.co/datasets/waterdisappear/ATRNet-STAR.