|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- object-detection |
|
pretty_name: AgML-Apple-Detection-USA |
|
size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
|
AgML Download]: Extracting files for apple_detection_usa... Done! |
|
|
|
================================================================================ |
|
You have just downloaded apple_detection_usa. |
|
|
|
This dataset has no license. |
|
|
|
When using this dataset, please cite the following: |
|
|
|
@article{karkee2019apple, |
|
title={Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall}, |
|
author={Karkee, Manoj and Bhusal, Santosh and Zhang, Qin}, |
|
year={2019} |
|
} |
|
|
|
You can find additional information about this dataset at: |
|
https://hdl.handle.net/2376/17721 |
|
|
|
This message will not be automatically shown |
|
again. To view this message again, in an AgMLDataLoader |
|
run `loader.info.citation_summary()`. Otherwise, you |
|
can use `agml.data.source(<name>).citation_summary().` |
|
|
|
================================================================================ |
|
==================== DATASET SUMMARY ==================== |
|
Name: apple_detection_usa |
|
Machine Learning Task: object_detection |
|
Agricultural Task: fruit_detection |
|
Location: |
|
continent: north_america |
|
country: usa |
|
Sensor Modality: rgb |
|
Real Or Synthetic: real |
|
Platform: ground |
|
Input Data Format: png |
|
Annotation Format: coco_json |
|
Number of Images: 2290 |
|
Documentation: https://hdl.handle.net/2376/17721 |
|
Stats: |
|
mean: |
|
- 0.2810896933078766 |
|
- 0.29005560278892517 |
|
- 0.2775411605834961 |
|
std: |
|
- 0.18863406777381897 |
|
- 0.18647761642932892 |
|
- 0.1885077804327011 |
|
Classes: |
|
'1': apple |
|
External Image Sources: [] |
