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Damaged Board Parts Segmentation Dataset

The "Damaged Board Parts Segmentation Dataset" is a niche collection tailored for the manufacturing sector, especially in wood and board production. It features internet-collected images with high resolutions ranging from 3024 x 4032 to 2048 x 5750 pixels. This dataset focuses on semantic segmentation of various types of board damage, including cracks, insect damage, and decay, aiding in quality control and manufacturing processes.

Sample

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Specification

Dataset ID
MD-Image-033
Dataset Name
Damaged Board Parts Segmentation Dataset
Data Type
data-typeImage
Volume
About 1k
Data Collection
Internet collected images. Resolution ranges from 3024 x 4032 to 2048 x 5750
Annotation
Semantic Segmentation
Annotation Notes
Annotation includes includes four points of wood board, crack, hidden crack, insect eye, resin capsule, pawl print, rough surface, decay, edge collapse, corner collapse.
Application Scenarios
Manufacturing

Data Collections

This compact dataset comprises 1k images, each annotated to detail common defects in wood boards such as cracks, insect eyes, resin capsules, and decay. The inclusion of specific damage types like pawl prints, rough surfaces, and edge or corner collapses makes this dataset a valuable tool for automating defect detection in wood manufacturing, ensuring quality and efficiency in production lines.

Quality Assurance

Quality Assurance

Related products

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