---
license: other
task_categories:
- image-segmentation
tags:
- cvat
- segmentation
size_categories:
- 1K<n<10K
---

# Sinon_Less - Segmentation Dataset

Instance Segmentation dataset with polygon annotations.

## Dataset Description

- **Source**: CVAT Annotation Platform
- **Format**: Segmentation
- **Total Samples**: 2535
- **Splits**: train: 1497, val: 267, test: 771

## Labels

- `Person`
- `Hard Hat`
- `No Head Protection`
- `Cleanroom Suit`
- `Splash Proof Gown`
- `No Protective Clothing`
- `Full Face Mask`
- `No Full Face Mask`

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Daniel246/cvat-sinon_less-segmentation")

# Access splits
train_data = dataset["train"]
val_data = dataset["val"]
test_data = dataset["test"]

# Example: iterate over samples
for sample in train_data:
    image = sample["image"]
    # Process annotations based on format type
```

## Dataset Structure

### Data Fields

- `image`: PIL Image
- `image_id`: Unique identifier for the image
- `width`: Image width in pixels
- `height`: Image height in pixels
- `objects`: List of segmented objects with:
  - `bbox`: Bounding box [x_center, y_center, width, height] (normalized)
  - `polygon`: List of [x, y] points (normalized)
  - `category_id`: Class index
  - `category_name`: Class name

## License

Please check the original data source for licensing information.

---
*Generated by CVAT Training System*