Datasets:
image imagewidth (px) 720 720 | objects dict | split stringclasses 3
values |
|---|---|---|
{
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[
... | train | |
{
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[
... | train | |
{
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... | train | |
{
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... | train | |
{
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... | train | |
{
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... | train | |
{
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... | train | |
{
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... | train | |
{
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{
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[
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... | train | |
{
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... | train | |
{
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[
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... | train | |
{
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{
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[
... | train | |
{
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264.700000... | train | |
{
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... | train | |
{
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[
... | train | |
{
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[
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... | train | |
{
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... | train | |
{
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... | train | |
{
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[
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142... | train | |
{
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... | train | |
{
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... | train | |
{
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[
... | train | |
{
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[
520.865,
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25.4500000... | train | |
{
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[... | train | |
{
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[
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... | valid | |
{
"bbox": [
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[
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[
62... | valid | |
{
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... | valid | |
{
"bbox": [
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292.47,
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... | valid | |
{
"bbox": [
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],
[
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],
[
281.0... | valid | |
{
"bbox": [
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],
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],
[
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],
[
548.3649999999999,
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]... | valid | |
{
"bbox": [
[
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]
],
"categories": [
0
]
} | test | |
{
"bbox": [
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[
709.9499999999999,
216.91,
9.96... | test | |
{
"bbox": [
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],
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]
],
"categories": [
0,
0,
0
]
} | test | |
{
"bbox": [
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[
292.975,
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[
317.... | test | |
{
"bbox": [
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[
424.79999999999995,
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],
[
494.845,
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37.57,... | test | |
{
"bbox": [
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],
[
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[
277.62499999999994,
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],
... | test | |
{
"bbox": [
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[
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[
240.105,
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],
[
108.71499999999999,
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15.56... | test | |
{
"bbox": [
[
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],
[
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],
[
524.9499999999999,
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],
[
508.55000000000007,
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... | test |
Cottonsim Detection
This dataset provides synthetic images of cotton plants in agricultural settings for object detection in crop monitoring. Captured using RealSense RGB-D cameras on a ground-based platform, the imagery simulates field conditions to support vision-guided agricultural robotics development. The dataset contains 40 images with 1,093 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{thayananthan2025cottonsim,
title={CottonSim: A vision-guided autonomous robotic system for cotton harvesting in Gazebo simulation},
author={Thayananthan, Thevathayarajh and Zhang, Xin and Huang, Yanbo and Chen, Jingdao and Wijewardane, Nuwan K. and Martins, Vitor S. and Chesser, Gary D. and Goodin, Christopher T.},
journal={Computers and Electronics in Agriculture},
volume={239},
pages={110963},
year={2025},
publisher={Elsevier}
}
This dataset was reformatted from its original format to match HuggingFace standards.
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