stomata-cells-upfae-ngum Computer Vision Dataset

byRoboflow 100-VLTask:
Object Detection
License:MIT

About stomata-cells-upfae-ngum Dataset

Overview

Introduction

This dataset focuses on the annotation of stomata cells on plant surfaces. Stomata are pores found on the epidermis of leaves, stems, and other organs that facilitate gas exchange. The dataset aims to differentiate between two states of the stomata: "close" and "open".

Classes:

  • Close: Stomata that are shut.
  • Open: Stomata with visible openings.

Object Classes

Close

Description

The "close" class includes stomata that are completely shut or show no visible opening. They appear as elongated or circular structures without a distinct inner gap.

Instructions

  • Identify and annotate stomata exhibiting no visible gap or opening.
  • Encircle the entire stoma, focusing on the outer edges of the structure.
  • Ensure the annotation encompasses the full extent of the closed stoma.
  • Do not annotate any partially opened stomata within this category.

Open

Description

The "open" class comprises stomata that show a clear visible opening. These appear as elongated or circular structures with a distinct gap in the center.

Instructions

  • Identify and annotate stomata that have a visible central gap or opening.
  • Encircle the entire stoma, capturing the opening and surrounding edges.
  • Make sure the annotation includes the full extent of the open structure.
  • Avoid annotating stomata with ambiguous or indistinct openings in this category.

Use Free Open and Close Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "open, close"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseMIT

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ stomata-cells-upfae-ngum_dataset,
  title = { stomata-cells-upfae-ngum Dataset },
  type = { Open Source Dataset },
  author = { Roboflow 100-VL },
  howpublished = { \url{ https://universe.roboflow.com/rf100-vl/stomata-cells-upfae-ngum } },
  url = { https://universe.roboflow.com/rf100-vl/stomata-cells-upfae-ngum },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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