Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

Citation Author(s):
Hamdi
Altaheri
King Saud University
Mansour
Alsulaiman
King Saud University
Mohammed
Faisal
King Saud University
Ghulam
Muhammed
King Saud University
Submitted by:
Hamdi Altaheri
Last updated:
Sun, 02/09/2020 - 01:24
DOI:
10.21227/x46j-sk98
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The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions. 

 

  

If you use the dataset, please cite the following articles:

[1]  H. Altaheri, M. Alsulaiman, G. Muhammad, S. U. Amin, M. Bencherif, and M. Mekhtiche, “Date Fruit Dataset for Intelligent Harvesting", Data in Brief, vol. 26, p. 104514, Oct. 2019.

[2]  H. Altaheri, M. Alsulaiman, and G. Muhammad, "Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning", IEEE Access, vol. 7, pp. 117115-117133, 2019.

 

 

Updates:

  •  Dataset-2 was uploaded. Date: 16/05/2019.
  •  The pdf files of dataset documentation and experiment papers were attached. Date: 23/10/2019.
  •  New zip file, named "DATASET-1 (224 X 224) Categorized.zip", was uploaded. This file contains the images of dataset-1 that resized to 224x224 pixels and categorized into subfolders according to date type, maturity, and the harvesting decision. This categorization, and image resolution, is related to the experiments described in ref [2]. Date: 09/02/2020.

 

Instructions: 

Please refer to the readme and documentation files for a full description.

The complete documentation of the dataset is available in the following article:

https://doi.org/10.1016/j.dib.2019.104514

Some experiments were performed on the dataset-1 and the results can be found in the following article:  [To download the dataset-1 as processed and categorized in this article, refer to the zip file named "DATASET-1 (224 X 224) Categorized.zip"]

https://doi.org/10.1109/ACCESS.2019.2936536

You can visit our website for more details and related resources:

https://sites.google.com/view/daterobotic/home

 

This data is divided into two sets. 

DATASET-1 consists of 8079 images of date bunches that were taken using two color cameras from different angles and scales during one season in six imaging sessions (recording times) over the period of Jun-Sep 2016. The date bunches belong to five date varieties: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. 

DATASET-1 zip files:

---- DATASET-1.zip (42 GB)

     High resolution images (8079 images) 

---- DATASET-1_(224 X 224).zip (108 MB)

     A preview of the 8079 images. Images size: 224 X 224.

---- DATASET-1 (224 X 224) Categorized.zip (649 MB)

     This file contains the images of dataset-1 resized to 224x224 pixels and categorized into subfolders according to date fruit type, maturity state, and the harvesting decision. This categorization, and image resolution, is related to the experiments described in ref [2].

---- DATASET-1_(annotation files).zip (104 KB)

     The annotation (labeling) files for type classification, maturity analysis, and harvesting decision applications. The labeling instructions and rules are explained in detail in Ref. [2].

  

DATASET-2 contains images, videos, and weight measurements that were acquired during the harvesting period of Barhi dates.

DATASET-2 files:

---- DATASET-2_images_Barhi_date_bunches_on_orchard.zip (16.44 GB)

     Images of 152 Barhi date bunches before and during harvesting.

---- DATASET-2_images_Barhi_date_bunches_front_graph_paper.zip (88.16 MB)

     Images of the 152 Barhi date bunches in front of graph paper.

---- DATASET-2_weight_measurements_Barhi_date_bunches.xlsx (683.99 KB)

     The weight measurements of the 152 Barhi date bunches.

---- DATASET-2_videos_Barhi_date_palms.zip (4.49 GB)

     360-degree videos of the nine Barhi date palms (120 date bunches).

---- DATASET-2_images&measurements_Sullaj_date_bunches_front_graph_paper.zip (76 MB)

     Images of 11 Sullaj date bunches in front of graph paper with weight & dimensions measurements.

---- DATASET-2_images&measurements_individual_dates&bunches_stalks.zip (549.18 MB)

     Images of individual dates and bunches' stalks with weight & dimensions measurements.

  

 

 

Comments

Update:

 

  • Dataset-2 was uploaded. Date: 16/05/2019.
Submitted by Hamdi Altaheri on Thu, 05/16/2019 - 16:08

Dear  Dr Hamdi,

 

Do you have individual images dataset for each type of dates that represent different quality?

 

 

Kind Regards,

Dr Mona

Submitted by Mona Ali on Sun, 10/13/2019 - 00:43

Dear Dr. Mona, 

This dataset contains images and videos for dates' bunches and individual dates to address the requirements of the applications in the pre-harvesting and harvesting stages. However, the dataset does not support post-harvesting applications such as date quality grading.

Submitted by Hamdi Altaheri on Wed, 10/23/2019 - 03:45

Dataset Files

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Documentation

AttachmentSize
Plain text icon readme.txt3.17 KB
PDF icon Date_Dataset.pdf4.12 MB
PDF icon Date_Classification.pdf8.26 MB

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[1] Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed, "Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/x46j-sk98. Accessed: Mar. 31, 2020.
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doi = {10.21227/x46j-sk98},
url = {http://dx.doi.org/10.21227/x46j-sk98},
author = {Hamdi Altaheri; Mansour Alsulaiman; Mohammed Faisal; Ghulam Muhammed },
publisher = {IEEE Dataport},
title = {Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation},
year = {2019} }
TY - DATA
T1 - Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation
AU - Hamdi Altaheri; Mansour Alsulaiman; Mohammed Faisal; Ghulam Muhammed
PY - 2019
PB - IEEE Dataport
UR - 10.21227/x46j-sk98
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Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed. (2019). Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation. IEEE Dataport. http://dx.doi.org/10.21227/x46j-sk98
Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed, 2019. Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation. Available at: http://dx.doi.org/10.21227/x46j-sk98.
Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed. (2019). "Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation." Web.
1. Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed. Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/x46j-sk98
Hamdi Altaheri, Mansour Alsulaiman, Mohammed Faisal, Ghulam Muhammed. "Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation." doi: 10.21227/x46j-sk98