fruit-detection
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.