Home/Environment & Climate/Ecological Environment Discharge Outlet Detection and Localization Dataset
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
- 10481
- 8.82GB
- piece
- CATL
MOBIUSI INC
Updated:2026-11-04
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.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | Unique identifier for the image. |
| image_path | string | File path to the image. |
| label_path | string | File path to the image annotation file. |
| image_width | number | Width of the image in pixels. |
| image_format | string | File format of the image. |
| image_height | number | Height of the image in pixels. |
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 |
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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Verified for Enterprise UseCite 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}
}Using this in research? Please cite us.
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