Datasets:

AMLP10101
/

human-segmentation-dataset

# Human Segmentation Dataset

A dataset with 300 images of humans with some background and a corresponding binary mask for each of these images.

## Example Images

### Training Image

![Training_Image](https://github.com/VikramShenoy97/Human-Segmentation-Dataset/blob/master/Training_Images/87.jpg)

### Corresponding Ground Truth Image (Binary Mask)

![Binary_Mask](https://github.com/VikramShenoy97/Human-Segmentation-Dataset/blob/master/Ground_Truth/87.png)

## Authors

* **Vikram Shenoy** - *Initial work* - [Vikram Shenoy](https://github.com/VikramShenoy97)

## Acknowledgments

* Swift and precise generation of masks was possible through [*Remove bg*](https://www.remove.bg)'s API.
* Some Images were taken from the [*GRAZ 01*](http://www-old.emt.tugraz.at/~pinz/data/) dataset.
* Most images were downloaded from [*Google Image Search*](https://images.google.com/?gws_rd=ssl).

	# Human Segmentation Dataset

	A dataset with 300 images of humans with some background and a corresponding binary mask for each of these images.

	## Example Images

	### Training Image

	![Training_Image](https://github.com/VikramShenoy97/Human-Segmentation-Dataset/blob/master/Training_Images/87.jpg)

	### Corresponding Ground Truth Image (Binary Mask)

	![Binary_Mask](https://github.com/VikramShenoy97/Human-Segmentation-Dataset/blob/master/Ground_Truth/87.png)


	## Authors

	* Vikram Shenoy - Initial work - [Vikram Shenoy](https://github.com/VikramShenoy97)

	## Acknowledgments

	* Swift and precise generation of masks was possible through [Remove bg](https://www.remove.bg)'s API.
	* Some Images were taken from the [GRAZ 01](http://www-old.emt.tugraz.at/~pinz/data/) dataset.
	* Most images were downloaded from [Google Image Search](https://images.google.com/?gws_rd=ssl).