crop-model
rampnet-crop-model-dataset-round2RampNet is a two-stage pipeline that addresses the scarcity of curb ramp detection datasets by using government location data to automatically generate over 210,000 annotated Google Street View panoramas. This new dataset is then used to train a state-of-the-art curb ramp detection model that significantly outperforms previous efforts. In this repo, we provide "the tiny set of manually labeled crops" that we refer to in both RampNet's GitHub repository and the paper.
Renamed 2026-08-05: this… See the full description on the dataset page: https://huggingface.co/datasets/projectsidewalk/rampnet-crop-model-dataset-round2.rampnet-crop-model-dataset-round1
RampNet Crop-Model Dataset — Round 1 (Project Sidewalk crops)
The training data behind round 1 of the RampNet Stage 1 crop model — 27,704 crops,
13.37 GB — from RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in
Streetscape Images from Open Government Metadata (O'Meara et al., ICCV'25 CV4A11y workshop,
arXiv:2508.09415).
The crop model is what turns a government curb ramp GPS coordinate into a pixel keypoint on a
panorama; every label in
rampnet-dataset was… See the full description on the dataset page: https://huggingface.co/datasets/projectsidewalk/rampnet-crop-model-dataset-round1.bl-crop-tighten-v1
bl-crop-tighten-v1
Training data for crop tightening on the British Library Book Images collection: 7,565 ABBYY picture-block crops (train 6,050 / validation 757 / test 758) with instance boxes and segmentation masks. The splits are book-safe — no book appears in more than one split (4,484 books total).
The labels are weak labels, not human annotations: tiiuae/Falcon-Perception-0.6B ran open-vocabulary segmentation over 8,400 stratified crops (embellishments, plates, medium… See the full description on the dataset page: https://huggingface.co/datasets/small-models-for-glam/bl-crop-tighten-v1.asia-dataverse-rice-pre-a-concept-for-crop-health-syndrome-model
RICE-PRE - a concept for crop health syndrome model
Source: Harvard Dataverse — doi:10.7910/DVN/VZP5CG
Publisher: IRRI Dataverse
Authors: Sparks, Adam
Files in dataset: 5
RICE-PRE, a concept for crop health syndrome model Adam Sparks and Serge Savary Background Plant disease management recommendations are a central premise of botanic epidemiology. Because many rice growers and their extension support systems are increasingly unable to accurately diagnose crop health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-dataverse-rice-pre-a-concept-for-crop-health-syndrome-model.africa-arising-rice-pre-a-concept-for-crop-health-syndrome-model
RICE-PRE - a concept for crop health syndrome model | Africa (Harvard Dataverse / AfricaRISING) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-arising-rice-pre-a-concept-for-crop-health-syndrome-model.cropmodel