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ZENODO
Software . 2024
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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SAMBA: A Trainable Segmentation Web-App with Smart Labelling

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 May 2024Publisher:Zenodo
Authors: Docherty, Ronan; Squires, Isaac; Vamvakeros, Antonis; Cooper, Samuel J.;

doi: 10.5281/zenodo.11307099 , 10.5281/zenodo.11307100

SAMBA: A Trainable Segmentation Web-App with Smart Labelling

Abstract

SAMBA (Segment Anything Model Based App) is a trainable segmentation tool for materials science that uses deep learning for fast, high-quality labels and random forests for robust, generalizable segmentations. It is accessible in the browser (https://www.sambasegment.com), without the need to download any external dependencies. This source code is a local version of the website which contains the frontend for the website (React + TSX) and the backend (Python + Flask). The frontend handles labelling and the backend sends back SAM embeddings (if requested) and segmentations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average