Datasets:
File size: 1,502 Bytes
882267f eac1a8b 882267f eac1a8b | 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 48 49 50 51 52 53 54 55 56 57 58 59 60 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: variety
dtype: string
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
splits:
- name: train
num_bytes: 44185079880
num_examples: 9010
download_size: 38362337718
dataset_size: 44185079880
license: cc-by-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Date Fruit Maturity Detection
A dataset for detection of Date Fruit Maturity. The dataset contains 9,010 images with 15,238 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{zarouit2024date,
title={Date fruit detection dataset for automatic harvesting},
author={Zarouit, Yousra and Zekkouri, Hassan and Ouhda, Mohamed and Aksasse, Brahim},
journal={Data in Brief},
volume={52},
pages={109876},
year={2024},
publisher={Elsevier}
}
```
ZAROUIT, Y., ZEKKOURI, H., OUHDA, M.& AKSASSE, B. (2023). Date Fruit Detection Dataset for Computer Vision-Based Automatic Harvesting. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10143465
*This dataset was reformatted from its original format to match HuggingFace standards.* |