Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
computer-vision
image-classification
surgical-tools
surgical-instruments
medical-imaging
open-closed-classification
License:
File size: 2,412 Bytes
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license: mit
task_categories:
- image-classification
language:
- en
tags:
- computer-vision
- image-classification
- surgical-tools
- surgical-instruments
- medical-imaging
- open-closed-classification
pretty_name: hinged-state-classifier-crops
size_categories:
- 1K<n<10K
---
# 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
hinged_state_classifier_crops/
├── train/
│ ├── open/
│ └── closed/
├── val/
│ ├── open/
│ └── closed/
└── test/
├── open/
└── closed/
## Dataset size
Total images: **1512**
| Split | Open | Closed | Total |
|---|---:|---:|---:|
| Train | 603 | 606 | 1209 |
| Val | 75 | 71 | 146 |
| Test | 78 | 79 | 157 |
| **Total** | **756** | **756** | **1512** |
The dataset is fully balanced at the class level.
## Global distribution
### By tool
| Tool | Count |
|---|---:|
| CM | 504 |
| NH | 504 |
| SH | 504 |
### By view
| View | Count |
|---|---:|
| CLO | 504 |
| OBL | 504 |
| TOP | 504 |
### By background
| Background | Count |
|---|---:|
| BL | 378 |
| GR | 378 |
| TR | 378 |
| WH | 378 |
## 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. |