Plant Growth Segmentation

Summary #

Plant Growth Segmentation is a dataset for a semantic segmentation task. It is used in the biological research.

The dataset consists of 2008 images with 2008 labeled objects belonging to 1 single class (plant).

Images in the Plant Growth Segmentation dataset have pixel-level semantic segmentation annotations. All images are labeled (i.e. with annotations). There is 1 split in the dataset: train (2008 images). Also Dataset includes repository (rep_01, rep_02 … rep_07) and plant_id (L-52, h38, … etc.) tags. The dataset was released in 2022.

Explore #

Plant Growth Segmentation dataset has 2008 images. Click on one of the examples below or open "Explore" tool anytime you need to view dataset images with annotations. This tool has extended visualization capabilities like zoom, translation, objects table, custom filters and more. Hover the mouse over the images to hide or show annotations.

Sample annotation mask from Plant Growth Segmentation

Sample image from Plant Growth Segmentation

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Have a look at 2008 images

Because of dataset's license preview is limited to 12 images

View images along with annotations and tags, search and filter by various parameters

Class balance #

There are 1 annotation classes in the dataset. Find the general statistics and balances for every class in the table below. Click any row to preview images that have labels of the selected class. Sort by column to find the most rare or prevalent classes.

Rows 1-1 of 1

Class ㅤ	Images ㅤ	Objects ㅤ	Count on image average	Area on image average
plant➔ mask	2008	2008	1	13.23%

Images #

Explore every single image in the dataset with respect to the number of annotations of each class it has. Click a row to preview selected image. Sort by any column to find anomalies and edge cases. Use horizontal scroll if the table has many columns for a large number of classes in the dataset.

Object distribution #

Interactive heatmap chart for every class with object distribution shows how many images are in the dataset with a certain number of objects of a specific class. Users can click cell and see the list of all corresponding images.

Class sizes #

The table below gives various size properties of objects for every class. Click a row to see the image with annotations of the selected class. Sort columns to find classes with the smallest or largest objects or understand the size differences between classes.

Rows 1-1 of 1

Class	Object count	Avg area	Max area	Min area	Min height	Min height	Max height	Max height	Avg height	Avg height	Min width	Min width	Max width	Max width
plant mask	2008	13.23%	46.99%	0.09%	27px	5.14%	518px	98.29%	254px	48.11%	20px	3.86%	508px	95.67%

Spatial Heatmap #

The heatmaps below give the spatial distributions of all objects for every class. These visualizations provide insights into the most probable and rare object locations on the image. It helps analyze objects' placements in a dataset.

Objects #

Table contains all 2008 objects. Click a row to preview an image with annotations, and use search or pagination to navigate. Sort columns to find outliers in the dataset.

Rows 1-10 of 2008

Object ID ㅤ	Class ㅤ	Image name click row to open	Image size height x width	Height ㅤ	Height ㅤ	Width ㅤ	Width ㅤ	Area ㅤ
1➔	plant mask	1000057_2022_05_12_15_00_09-6-2-TA02-RGB1_pot_A5_Go-0-01.png	534 x 531	73px	13.67%	68px	12.81%	0.81%
2➔	plant mask	1000073_2022_05_20_12_00_17-6-17-TA03-RGB1_pot_A1_Br-0-01.png	525 x 518	79px	15.05%	83px	16.02%	1.06%
3➔	plant mask	1000080_2022_05_12_12_00_17-6-1-TA03-RGB1_pot_B3_Ors-2-01.png	529 x 522	44px	8.32%	67px	12.84%	0.55%
4➔	plant mask	1000057_2022_05_18_15_00_09-6-14-TA02-RGB1_pot_A5_Go-0-01.png	534 x 531	121px	22.66%	134px	25.24%	3.06%
5➔	plant mask	1000086_2022_05_18_15_00_17-6-14-TA03-RGB1_pot_C4_Hovdala-2-01.png	526 x 539	142px	27%	194px	35.99%	3.99%
6➔	plant mask	1000057_2022_05_16_12_00_09-6-9-TA02-RGB1_pot_A5_Go-0-01.png	534 x 531	108px	20.22%	123px	23.16%	2.48%
7➔	plant mask	1000102_2022_05_26_15_00_24-6-30-TA04-RGB1_pot_B5_Can-0-02.png	525 x 531	250px	47.62%	261px	49.15%	12.99%
8➔	plant mask	1000090_2022_05_27_12_00_17-6-31-TA03-RGB1_pot_D3_Hsm-01.png	535 x 528	188px	35.14%	162px	30.68%	5.67%
9➔	plant mask	1000073_2022_05_17_12_00_17-6-11-TA03-RGB1_pot_A1_Br-0-01.png	525 x 518	66px	12.57%	67px	12.93%	0.78%
10➔	plant mask	1000076_2022_06_04_12_00_17-6-47-TA03-RGB1_pot_A4_PHW-2-01.png	530 x 537	451px	85.09%	435px	81.01%	41.79%

License #

License is unknown for the Plant Growth Segmentation dataset.

Source

Citation #

If you make use of the Plant Growth Segmentation data, please cite the following reference:

@dataset{Plant Growth Segmentation,
  author={Chris Purcell},
  title={Plant Growth Segmentation},
  year={2022},
  url={https://www.kaggle.com/datasets/shengyou222/plantgrowthsegmentationdataset}
}

Source

If you are happy with Dataset Ninja and use provided visualizations and tools in your work, please cite us:

@misc{ visualization-tools-for-plant-growth-segmentation-dataset,
  title = { Visualization Tools for Plant Growth Segmentation Dataset },
  type = { Computer Vision Tools },
  author = { Dataset Ninja },
  howpublished = { \url{ https://datasetninja.com/plant-growth-segmentation } },
  url = { https://datasetninja.com/plant-growth-segmentation },
  journal = { Dataset Ninja },
  publisher = { Dataset Ninja },
  year = { 2024 },
  month = { nov },
  note = { visited on 2024-11-01 },
}

Download #

Please visit dataset homepage to download the data.

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Disclaimer #

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