joonhaim/hinged-state-classifier-crops

hinged-state-classifier-crops

Binary image classification dataset for open vs. closed state recognition of hinged surgical instruments.

Overview

This dataset contains cropped images of three hinged surgical tool categories:

• —CM = clamp
• —NH = needle holder
• —SH = shear

The target classes are:

• —open
• —closed

It is intended for training and evaluating hinge-state classifiers in a two-stage surgical tool recognition pipeline, where an instrument is first detected and then classified as open or closed.

Structure

hingedstateclassifier_crops/ ├── train/ │ ├── open/ │ └── closed/ ├── val/ │ ├── open/ │ └── closed/ └── test/ ├── open/ └── closed/

Dataset size

Total images: 1512

The dataset is fully balanced at the class level.

Global distribution

By tool

By view

By background

Filename convention

Images follow this naming pattern:

{TOOL}{VIEW}{BACKGROUND}{STATE}{INDEX}

Where:

• —TOOL: CM, NH, SH
• —VIEW: CLO, OBL, TOP
• —BACKGROUND: BL, GR, TR, WH
• —STATE: OP, CL

Validation

The dataset passed validation successfully:

• —Expected total images: 1512
• —Observed total images: 1512
• —Problems found: 0
• —Warnings found: 0
• —Duplicate image-content groups: 0
• —Cross-split duplicate image-content groups: 0

Intended use

This dataset is intended for:

• —binary image classification of hinged surgical instrument state,
• —benchmarking open/closed classifiers,
• —evaluating robustness across viewpoints and backgrounds,
• —use in multi-stage surgical tool recognition systems.