Signals 4 · free daily AI digest

PLANTEUR: A Crop-Type Segmentation Benchmark for Tropical Regions

Paper recorded by Signals 4 on 2026-11-03 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.CV · 计算机视觉 · first seen 2026-11-04

Abstract

We introduce PLANTEUR, a benchmark for crop-type mapping from satellite images in the French overseas territories. Building on the PASTIS design, PLANTEUR provides georeferenced and aligned Sentinel-2, Sentinel-1, and Landsat-8 sequences with parcel-derived labels spanning six tropical regions and an 8-class label space. We define both a standard test split and a leave-one-island-out protocol to m

Read on arXiv →

#11 most recent of 710 cs.CV papers we have recorded · ↑ newer: Diagnosis by Composition: Detecting and Localizing Unseen Diseases by · ↓ older: Diffusion Plug-in Priors for Self-Supervised Ultrasound Video Restorat
Cite this page: PLANTEUR: A Crop-Type Segmentation Benchmark for Tropical Regions: the #11 most recent of 710 cs.CV papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/planteur-a-crop-type-segmentation-benchmark-for-tropical-regions.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CV papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions