Open source agricultural data
Project description
smallSSD: The small robot company's semi-supervised detection dataset
smallSSD
is an open source agricultural semi-supervised object detection dataset, containing 960 images labelled with wheat and weed bounding boxes and 100,032 unlabelled images.
All images were collected by the Small Robot Company's Tom robot in 8 experimental fields with varying drill rates and fertilizer and herbicide application, and are available on Zenodo.
This repository returns a dataset, modelled off the torchvision datasets:
from torch.utils.data import DataLoader
from smallssd.data import LabelledData, UnlabelledData
labelled_loader = DataLoader(LabelledData())
By default, this code expects the labelled data to be in the data
folder (and will automatically download it from Zenodo if it is not available there).
More in-depth examples on how to get started with this data are available in the benchmarks, where we train torchvision models against the data using both fully-supervised and pseudo labelling approaches.
Installation
smallSSD
can be installed with the following command:
pip install smallssd
License
smallSSD
has a Creative Commons Attribution-NonCommercial 4.0 International license.
Project details
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