Create README.md

README.md

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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.