Photovoltaic Module Hotspot Defect Detection and Localization Dataset

#Hotspot object detection #defect localization #bounding box regression #image classification #model evaluation #Solar farm module inspections #drone-based thermal screening #module fault prioritization #maintenance work-order localization #low-output anomaly screening
Records
22352
Size
1.17GB
Format
piece
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-05
AI Analysis & Value Prop

This dataset contains photovoltaic module images and corresponding location annotations for hotspot defects, supporting the development and evaluation of hotspot detection models. Each record provides an image identifier, image path, annotation file path, class ID, image width and height, and image format to help associate images with their annotations. The data can support solar farm inspections, module fault screening, and computer vision research; confirm the actual sample count, collection conditions, and annotation format from the dataset files.

Overview

Dataset Insights

Preview

Sample Examples

045f5af4**.jpg||0 B

Schema

Technical Specifications

file_namestringFile name
qualitystringResolution
image_idstringA unique identifier for the image record.
image_pathstringThe file path to the image.
label_pathstringThe file path to the image annotation.
category_idarrayThe identifier for the annotated defect category.
image_widthnumberThe image width in pixels.
image_formatstringThe image file format.
image_heightnumberThe image height 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 contain?
It contains photovoltaic module images and information related to hotspot defect localization annotations. Fields include an image identifier, image and annotation file paths, class ID, image dimensions, and image format.
How many samples are included, and what are the image dimensions?
The available information does not specify the total sample count or a standard resolution. Image width and height are provided as fields, allowing users to inspect or filter individual image dimensions; refer to the actual files for details.
Which models and tasks is the data suitable for?
The data can support photovoltaic hotspot detection, defect localization, image classification, model evaluation, and validation of module inspection workflows. Before training, check that the annotation file format matches your model requirements.
How can I obtain the data and check its license?
Check the dataset listing for available access methods, file details, and licensing terms. The information provided here does not specify download options or license scope, so consult the published terms before commercial use or redistribution.

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={Photovoltaic Module Hotspot Defect Detection and Localization Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/01cb4bbab1bdf5dbb54cd0e13e38eb1c?dataset_scene_id=12},
  urldate={2026-11-03},
  keywords={photovoltaic hotspot dataset,solar panel defect detection,hotspot object detection,solar panel fault recognition,PV inspection images,module localization annotations,solar O and M AI,thermal defect data},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches