Scene
Scene
A full-scene dataset ecosystem spanning real-world environments to digital domains.
Home & Indoor Office & Educational Healthcare & Medical Business & Public Service Industrial & Manufacturing Transportation & Driving Outdoor & Construction Nature, Aerial & Aquatic Virtul & Digital
Domain
Domain
A comprehensive dataset ecosystem spanning 16 major industries, empowering intelligence across diverse applications.
Industrial & Manufacturing Finance & Insurance Transport & Automotive Healthcare & Medical Smart Devices Law & Government Education & Training Agriculture & Food Retail & E-commerce Security & Protection Environment & Climate Energy & Resource Express & Logistics Sports General Data Content & Media Construction IT & Telecom Science & Research Language & Culture
Modality
Modality
A complete multimodal dataset system spanning text, image, audio, video, 3D, and more.
Audio Image Text Video Multi Document Time-Series 3D cloud Code Event Motion Interaction
Task
Task
A unified task suite spanning classification, detection, dialogue, prediction, and more.
Classification Detection Segmentation Tacking Estimation QA Recognition Control Extraction Retrieval Forecast

Home/Nature, Aerial & Aquatic/New Guinea Impatiens Identification Image Dataset for Garden Flowers

New Guinea Impatiens Identification Image Dataset for Garden Flowers

#Image classification #plant identification #computer vision applications #Crop identification #horticultural plant classification #agricultural automation

Records: 500 records
Size: 1.2G
Format: JPG
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

Currently, the garden flower industry faces challenges such as a wide variety of plant species and high difficulty in identification. Traditional manual identification methods are inefficient and susceptible to subjective influences. This dataset aims to improve the efficiency of identifying New Guinea Impatiens to meet the needs for accurate recognition. In terms of data collection, high-resolution cameras are used to photograph under natural light, ensuring the background is naturally realistic. Quality control is strict, with multiple rounds of manual annotation, expert review, and the annotation team consists of 20 horticultural plant experts. Data preprocessing includes image correction, color balancing, and noise filtering, with the final storage in JPG format and organized by classification.

Overview

Dataset Insights

Preview

Sample Examples

8add0f02**.jpg|1920*2560|311.08 KB

2565d04a**.jpg|1920*2560|952.21 KB

a693bac6**.jpg|2560*1920|1.17 MB

85311850**.jpg|1920*2560|823.68 KB

de395401**.jpg|1920*2560|474.95 KB

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
species_type	string	The specific species to which the flower belongs.
flower_color	string	The primary color of the flower.
flower_stage	string	The growth stage of the flower, such as bud, bloom, or wilt.
leaf_arrangement	string	The arrangement of leaves, such as whorled or opposite.
leaf_shape	string	The shape of the leaves, such as elliptical or lanceolate.
petal_count	integer	The number of petals on the flower.
stem_length	float	The length of the stem in centimeters.
env_condition	string	The environmental conditions at the time of the photo, such as lighting intensity or background objects.
image_quality	string	The sharpness of the image, such as high-definition or blurry.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What is the Garden Flower New Guinea Impatiens Image Recognition Dataset?: The Garden Flower New Guinea Impatiens Image Recognition Dataset is a high-quality image dataset designed specifically for recognizing New Guinea Impatiens.

In which fields can this dataset be applied?: This dataset is mainly applied in the agricultural and forestry sectors, especially for plant recognition and garden flower research.

How can the Garden Flower New Guinea Impatiens Image Recognition Dataset be used for plant recognition?: The dataset can be used by training machine learning models using the images as input to recognize and classify New Guinea Impatiens.

What are the characteristics of the images in the New Guinea Impatiens Recognition Dataset?: The dataset includes high-quality images that effectively help improve the accuracy of plant recognition.

Why choose New Guinea Impatiens as the object of recognition?: New Guinea Impatiens is a popular ornamental plant, and its recognition is valuable for horticulturists and researchers.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

High-quality data, ready for your next AI breakthrough.

Cite this Work

@dataset{Mobiusi2026,
  title={New Guinea Impatiens Identification Image Dataset for Garden Flowers},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/b412d5ee77bb7f4eee2fcf0c0ea72292?dataset_scene_cate_type=8},
  urldate={2026-02-04},
  keywords={New Guinea Impatiens identification, garden flower dataset, agricultural image classification, plant computer vision},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task