GrainSight

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Provided by Fares Azzam

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Dataset information

Country of origin
Updated
2024.12.09 10:34
Created
2024.09.16
Available languages
English
Keywords
petrography, image-analysis, microscopy, mineral-identification, thin-sections, fastsam, textural-analysis, quantitative-analysis, grain-segmentation
Quality scoring

Dataset description

GrainSight is a user-friendly application designed for petrographers and microscopists, allowing real-time segmentation and analysis of grains in microscopic thin section images. It uses the FastSAM segmentation model to extract quantitative data such as grain area, perimeter, roundness, and aspect ratio, aiding in various petrographic studies including mineral identification, texture analysis, and understanding the depositional history of rocks. Please quote the app as follows: Azzam, F., Blaise, T., & Brigaud, B. (2024). Automated petrographic image analysis by supervised and unsupervised machine learning methods. Sedimentologika, 2(2). https://doi.org/10.57035/journals/sdk.2024.e22.1594.
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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