Datasets:
File size: 1,164 Bytes
6aa799c 4303b56 6aa799c 4303b56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': HLB
'1': healthy
splits:
- name: train
num_bytes: 1191138744
num_examples: 324
download_size: 1191169096
dataset_size: 1191138744
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Orange Leaf Hlb Classification
This dataset contains RGB images of orange leaves captured in a laboratory setting using multiple smartphone models. It is designed for computer vision research focused on detecting Huanglongbing disease and differentiating diseased leaves from non-diseased ones. The dataset contains 324 images across 2 classes: HLB, healthy.
Images per class:
- HLB: 195
- healthy: 129
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
<!-- TODO: add BibTeX citation -->
```
<!-- TODO: add plain text citation -->
*This dataset was reformatted from its original format to match HuggingFace standards.*
|