Datasets:
File size: 1,684 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': Flower
'1': Shoot
'2': Maybe
'3': Leaf
splits:
- name: train
num_bytes: 360647800
num_examples: 1698
download_size: 392683479
dataset_size: 360647800
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Erwiam Blight Detection
A dataset for detection of fire blight in an apple orchard. The dataset contains 1,698 images with 15,761 bounding box annotations across 4 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{mass2024annotated,
title={Annotated image dataset of fire blight symptoms for object detection in orchards},
author={Ma{\ss}, Virginia and Alirezazadeh, Pendar and Seidl-Schulz, Johannes and Leipnitz, Matthias and Fritzsche, Eric and Ibraheem, Rasheed Ali Adam and Geyer, Martin and Pflanz, Michael and Reim, Stefanie},
journal={Data in Brief},
volume={56},
pages={110826},
year={2024},
publisher={Elsevier}
}
```
Maß, Virginia; Alirezazadeh, Pendar; Seidl-Schulz, Johannes; Leipnitz, Matthias; Fritzsche, Eric; Ibraheem, Rasheed Ali Adam; Geyer, Martin; Pflanz, Michael; Reim, Stefanie (2024), “ERWIAM dataset”, Mendeley Data, V1, doi: 10.17632/fpmnncmg84.1
*This dataset was reformatted from its original format to match HuggingFace standards.* |