Wear Dataset · Research Overview

A rigorous four-part landscape figure on how a wear-analysis dataset is built.

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A rigorous four-part landscape figure on how a wear-analysis dataset is built.

Create a horizontal overview figure of a research dataset construction pipeline, rigorous and plain in temperament, suitable as a paper's main figure.

Explain the pipeline in four consecutive sections: the first, "Wear Process," contrasts machine wear experiments with manual plant cutting; the second, "Microscopic Imaging," shows 50X and 20X micrographs plus the two perception modalities, Texture and Heightmap; the third, "Coarse-Grained and Fine-Grained Categories," arranges samples as Before Use, Antler, Bone, Ivory, Beechwood, Sprucewood, Barley, Fern, and Horsetail, aligning each object column-wise with its grayscale texture and pseudo-color heightmap; the fourth, "Expert Knowledge," shows two experts discussing wear regions and decision focus.

The whole uses white, black-gray, and Times-style serif type, with the timeline emphasized in deep blue and golden yellow, and the microscopic heightmaps keeping their natural pseudo-color. Thought bubbles beside the experts read "Where are wear regions?" and "Where to focus when making decisions?". Information density is high but the reading path is clear; add nothing decorative that is unrelated to a paper figure.

Add scale bar

Adds a scale bar strip along the bottom edge so sample dimensions can be read directly off the figure.

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Create a horizontal overview figure of a research dataset construction pipeline, rigorous and plain in temperament, suitable as a paper's main figure.

Explain the pipeline in four consecutive sections: the first, "Wear Process," contrasts machine wear experiments with manual plant cutting; the second, "Microscopic Imaging," shows 50X and 20X micrographs plus the two perception modalities, Texture and Heightmap; the third, "Coarse-Grained and Fine-Grained Categories," arranges samples as Before Use, Antler, Bone, Ivory, Beechwood, Sprucewood, Barley, Fern, and Horsetail, aligning each object column-wise with its grayscale texture and pseudo-color heightmap; the fourth, "Expert Knowledge," shows two experts discussing wear regions and decision focus.

The whole uses white, black-gray, and Times-style serif type, with the timeline emphasized in deep blue and golden yellow, and the microscopic heightmaps keeping their natural pseudo-color. Thought bubbles beside the experts read "Where are wear regions?" and "Where to focus when making decisions?". Information density is high but the reading path is clear; add nothing decorative that is unrelated to a paper figure.

Switch to ivory

Switches the ground from plain white to warm ivory; the serif type and section layout stay unchanged.

Try Kimi Design

Create a horizontal overview figure of a research dataset construction pipeline, rigorous and plain in temperament, suitable as a paper's main figure.

Explain the pipeline in four consecutive sections: the first, "Wear Process," contrasts machine wear experiments with manual plant cutting; the second, "Microscopic Imaging," shows 50X and 20X micrographs plus the two perception modalities, Texture and Heightmap; the third, "Coarse-Grained and Fine-Grained Categories," arranges samples as Before Use, Antler, Bone, Ivory, Beechwood, Sprucewood, Barley, Fern, and Horsetail, aligning each object column-wise with its grayscale texture and pseudo-color heightmap; the fourth, "Expert Knowledge," shows two experts discussing wear regions and decision focus.

The whole uses white, black-gray, and Times-style serif type, with the timeline emphasized in deep blue and golden yellow, and the microscopic heightmaps keeping their natural pseudo-color. Thought bubbles beside the experts read "Where are wear regions?" and "Where to focus when making decisions?". Information density is high but the reading path is clear; add nothing decorative that is unrelated to a paper figure.

Add sample index

Adds a small index number to each of the eight sample groups for easier reference in the paper text.

Try Kimi Design

Create a horizontal overview figure of a research dataset construction pipeline, rigorous and plain in temperament, suitable as a paper's main figure.

Explain the pipeline in four consecutive sections: the first, "Wear Process," contrasts machine wear experiments with manual plant cutting; the second, "Microscopic Imaging," shows 50X and 20X micrographs plus the two perception modalities, Texture and Heightmap; the third, "Coarse-Grained and Fine-Grained Categories," arranges samples as Before Use, Antler, Bone, Ivory, Beechwood, Sprucewood, Barley, Fern, and Horsetail, aligning each object column-wise with its grayscale texture and pseudo-color heightmap; the fourth, "Expert Knowledge," shows two experts discussing wear regions and decision focus.

The whole uses white, black-gray, and Times-style serif type, with the timeline emphasized in deep blue and golden yellow, and the microscopic heightmaps keeping their natural pseudo-color. Thought bubbles beside the experts read "Where are wear regions?" and "Where to focus when making decisions?". Information density is high but the reading path is clear; add nothing decorative that is unrelated to a paper figure.