Ecological Environment Discharge Outlet Detection and Localization Dataset

#Object detection #Object localization #Object recognition #Vision model training #Image retrieval #River outlet inspections #Industrial park discharge surveys #Environmental image review #Waterfront pollution monitoring #Discharge outlet image cataloging
Records
10481
Size
8.82GB
Format
piece
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
AI Analysis & Value Prop

This dataset focuses on discharge outlets in ecological and environmental settings. It includes images and corresponding annotation files, along with basic metadata such as image IDs, file paths, dimensions, and formats. The annotations support outlet detection and location identification for automated environmental inspections and computer vision development; the actual sample count and annotation format depend on the delivered files.

Overview

Dataset Insights

Preview

Sample Examples

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Schema

Technical Specifications

file_namestringFile name
qualitystringResolution
image_idstringUnique identifier for the image.
image_pathstringFile path to the image.
label_pathstringFile path to the image annotation file.
image_widthnumberWidth of the image in pixels.
image_formatstringFile format of the image.
image_heightnumberHeight of the image in pixels.

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 does the dataset include?
It includes images of discharge outlet scenes, corresponding annotation files, and metadata such as image IDs, image paths, annotation paths, image dimensions, and image formats.
Which tasks can the annotations support?
The annotations are intended to identify discharge outlet objects and their locations in images, supporting object detection, localization, and visual recognition model training. Confirm the specific classes and file format in the delivered files.
What are the dataset size and image specifications?
The current description does not specify the sample count or a standardized image specification. The fields include image width, height, and format; review the data inventory or sample files to confirm exact details before acquisition.
How can I obtain the data, and what are the licensing terms?
Check the data provider or publishing platform for access procedures, pricing, and license terms. Confirm permitted use in advance for commercial deployment, redistribution, or projects involving regulatory operations.

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Cite this Work

@dataset{Mobiusi2026,
  title={Ecological Environment Discharge Outlet Detection and Localization Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/303c73465dc4a5fa8bd5f1054cb1df5f?dataset_scene_id=11},
  urldate={2026-11-03},
  keywords={discharge outlet dataset,environmental image data,outlet object detection,outlet localization annotations,pollution source recognition,AI environmental inspection,visual outlet detection,ecological monitoring data},
  version={1.0}
}

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