The 1st Sci-ImageMiner Competition: Information Extraction from Scientific
Figures in Materials Science
Focus: Quantitative plots from Atomic Layer Deposition and Etching (ALD/E)
research

Organized as part of the ICDAR 2026 Competition track
<https://icdar2026.org/index.php/call-for-competitions/>
<https://icdar2026.org/index.php/competitions/>
https://icdar2026.org/index.php/competitions/
<https://icdar2026.org/index.php/call-for-competitions/>  
ICDAR 2026 - The 20th International Conference on Document Analysis and
Recognition
30 Aug - 04 Sep 2026 | Vienna, Austria

Sci-ImageMiner 2026 Competition Website:
<https://sites.google.com/view/sci-imageminer/>
https://sites.google.com/view/sci-imageminer/


Overview

Scientific figures often contain critical results that never appear
explicitly in the text. Despite recent advances in multimodal large language
models, most existing benchmarks rely on generic or synthetic visuals.
Sci-ImageMiner addresses this gap by introducing a curated benchmark
grounded in authentic scientific figures from a specialized scientific
domain.

Tasks

The competition hosts four tasks:

1.      Figure Classification - identify the chart or figure type
2.      Data Table Extraction - reconstruct the underlying tabular data from
quantitative plots
3.      Figure Summarization - generate concise, factual summaries of key
trends
4.      Visual Question Answering (VQA) - answer scientific questions
requiring reasoning over figure content

Teams may participate in any subset of tasks (including all four).

Data & Evaluation

*       A trial dataset is available now to familiarize participants with
the data and annotations.
*       The full dataset will be released in stages (training, development,
blind test).
*       All evaluations will be conducted on Codabench, with per-task
leaderboards.

Important Dates (selected)

*       Trial data release: 8 December 2025
*       Evaluation start: 3 March 2026
*       Evaluation end: 3 April 2026
*       Paper submission deadline: 17 April 2026
*       Camera-ready deadline: 4 May 2026

 

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