datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pheno4d_point_cloud_segmentation
Pheno4D Point Cloud Segmentation
A dataset for point cloud semantic segmentation of maize and tomato plants. The dataset contains 126 labeled 3D scans across two species, tomato (single label scheme) and maize (dual label scheme: collar-based and tip-based organ boundaries), with per-point labels identifying plant organs (e.g. stem, leaf).
Each sample includes:
points: an (N, 3) array of x, y, z point coordinates, N varies per scan
mask: an (N, 1) array of per-point organ… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/pheno4d_point_cloud_segmentation.Smoke-Cloud-Segmentation-RACE-ODIN-Data
Smoke Cloud Segmentation Model Training Data
This data is part of the Open Data Integration ODIN (https://nasarace.github.io/race-odin/) project built using the Runtime for Airspace Concept Evaluation (RACE) framework (https://nasarace.github.io/race/)
This is the data for the model here: https://huggingface.co/sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN
The paper for the model is avaialbe here: https://doi.org/10.1016/j.cageo.2025.105960
Copyright (c) 2022, United States… See the full description on the dataset page: https://huggingface.co/datasets/sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN-Data.cvat-pipeline-5-cloud_segmentation_4f3b74fc