Matching Ceramic Fracture Surface Images for Forensic Algorithm Validation

Joshua Berlinski's dataset comprises microscope images of matching fracture surface pairs from various ceramics, exported as grayscale height data in CSV format. The 18.4 GB collection includes three sets: ceramic plates, porcelain plates, and a broken mug handle, along with reference pictures. It was created as a case study for a fracture matching algorithm to determine if two surfaces originated from a single sample.

Use Cases

• Validating fracture matching algorithms based on grayscale height data of surface pairs.
• Training computer vision models for forensic material analysis using microscope images.
• Benchmarking surface comparison techniques for ceramics and porcelain samples.

Strengths

• Large dataset at 18.4 GB, providing substantial data for analysis.
• Includes multiple material types: ceramic plates, porcelain plates, and a mug handle.
• Data is provided in both image (JPG) and processed tabular (CSV) formats for flexibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's specific temporal and geographic collection context is not provided.

Provenance

Source

Joshua Berlinski via figshare

Collection Method

Microscope images of fracture surfaces exported as grayscale height data.

Time Range

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Freshness

Last updated 2026-04-30 14:09:13; freshness should be verified.

Geography

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