datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
date_fruit_maturity_detection
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
@article{zarouit2024date,
title={Date fruit detection dataset for automatic harvesting},
author={Zarouit, Yousra and Zekkouri, Hassan and Ouhda, Mohamed and Aksasse, Brahim},
journal={Data… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/date_fruit_maturity_detection.fruit-detection-datasetlitchi_fruit_detection
Litchi Fruit Detection
A dataset for object detection of litchi fruit. The dataset contains 1,880 images with 39,415 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{peng2026litchi,
title={Litchi-SORT: Overcoming occlusion and motion instability for accurate low-altitude UAV-based… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/litchi_fruit_detection.date_fruit_detectionfruit-ripeness-detection-dataset
Dataset Card for Fruit-Ripeness-Classification dataset
This is a collection of ripe and unripe fruits (mangoes and bananas) in outside lighting and outside conditions.
Train - 80% (4k images)
Test - 20% (1k images)
Dimensions of image : 640 x 480
The dataset has been collected from Mendeley data: https://data.mendeley.com/datasets/y3649cmgg6/3 (Mango and Banana Dataset (Ripe Unripe) : Indian RGB image datasets for YOLO object detection)
Initially the data was for training YOLO… See the full description on the dataset page: https://huggingface.co/datasets/darthraider/fruit-ripeness-detection-dataset.dataset_fruitdetection11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so100_follower",
"total_episodes": 5,
"total_frames": 1572,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/azam2u/dataset_fruitdetection11.fruit_detection_worldwide
Fruit Detection Worldwide
A dataset for object detection of various fruits. The dataset contains 565 images with 3,132 bounding box annotations across 7 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@Article{s16081222,
AUTHOR = {Sa, Inkyu and Ge, Zongyuan and Dayoub, Feras and Upcroft, Ben and Perez, Tristan and McCool, Chris},
TITLE = {DeepFruits: A Fruit Detection System Using Deep Neural… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/fruit_detection_worldwide.ghai_strawberry_fruit_detection
Ghai Strawberry Fruit Detection
A dataset for object detection of strawberries. The dataset contains 500 images with 3,466 bounding box annotations across 10 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/strawberry.md
dataset_fruitdetection14This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
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"robot_type": "so100_follower",
"total_episodes": 11,
"total_frames": 1515,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:11"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/azam2u/dataset_fruitdetection14.dataset_fruitdetection12This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so100_follower",
"total_episodes": 5,
"total_frames": 361,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:5"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/azam2u/dataset_fruitdetection12.yolo-mangosteen-fruit-object-detection
山竹果实目标检测数据集
本数据集为山竹果实目标检测数据集，适用于智慧农业领域的目标检测任务。
数据集标签信息
检测类别数（nc）：2
类别名称：Ripe（成熟）, Un_Ripe（未熟）
适用场景
Ripe的智能识别与检测
Un_Ripe的智能识别与检测
农业智能化检测与病虫害识别
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：山竹果实目标检测数据集
访问 https://www.data2.cn 访问 data2.cn 获取下载链接
--来自data2.cn超级会员v6的分享
fruit_detection