geo
Datasets
All datasets matching “geo”geonamebase_1geometry3kThis dataset was converted from https://github.com/lupantech/InterGPS using the following script.
import json
import os
from datasets import Dataset, DatasetDict, Sequence
from datasets import Image as ImageData
from PIL import Image
MAPPING = {"A": 0, "B": 1, "C": 2, "D": 3}
def generate_data(data_path: str):
for folder in os.listdir(data_path):
folder_path = os.path.join(data_path, folder)
image = Image.open(os.path.join(folder_path, "img_diagram.png"), "r")… See the full description on the dataset page: https://huggingface.co/datasets/hiyouga/geometry3k.TerraMesh
TerraMesh
A planetary‑scale, multimodal analysis‑ready dataset for Earth‑Observation foundation models: TerraMesh merges data from Sentinel‑1 SAR, Sentinel‑2 optical, Copernicus DEM, NDVI, and land‑cover sources into more than 9 million co‑registered patches ready for large‑scale representation learning.
You find more information about the data sampling and preprocessing in our paper: TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data.
Samples from the TerraMesh… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/TerraMesh.editorai-telemetryGridNet-HD
🗂 GridNet-HD dataset
1. Introduction
This dataset was developed for 3D semantic segmentation task using both images and 3D point clouds specialized on electrical infrastructure.
Grid (electrical) Network at High Density and High Resolution represents the first Image+LiDAR dataset accurately co-referenced in the electrical infrastructure domain.
This dataset is associated with a public leaderboard hosted on Hugging Face Spaces, available at: leaderboard.
The… See the full description on the dataset page: https://huggingface.co/datasets/heig-vd-geo/GridNet-HD.pa-warm-start-sft-heavy-25b-mix
geodesic-research/pa-warm-start-sft-heavy-25b-mix
Auto-generated by dataset-builder.
Each config below is a separate dataset produced from a versioned YAML build
config. Load with:
from datasets import load_dataset
ds = load_dataset("geodesic-research/pa-warm-start-sft-heavy-25b-mix", "<config_name>", revision="<commit-sha>")
Pin revision= to the specific commit SHA you want; without it, you get the
current HEAD of the dataset repo, which may change when the builder re-pushes.… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/pa-warm-start-sft-heavy-25b-mix.