opendatalake 1.0.2

## OpenDataLake [](LICENSE)

Since it is all about data, this are data wrappers for common datasets which load the data into a common structure.

There are handlers for several datasets. To get you started quickly.

## Install

Simply install it via pip.

`bash pip install opendatalake `

## Classification

Here are all classification datasets. They are loaded as a generator spitting out a feature(-vector/image) and a one-hot-encoded label.

1. [Named Folders (Foldername = Label)](opendatalake/classification/named_folders.py)

2. [MNIST](opendatalake/classification/mnist.py)

3. ImageNet [TODO]

4. [Cifar10/Cifar100](opendatalake/classification/cifar.py)

5. [LFW (named folders)](opendatalake/classification/named_folders.py)

6. PASCAL VOC [TODO]

7. Places [TODO]

## Segmentation

Here are all segmentation datasets. They are loaded as a generator spitting out a feature(-vector/image) and segmentation(-vector/image).

1. [Coco (WIP)](opendatalake/segmentation/coco.py)

2. CamVid [TODO]

3. Cityscapes [TODO]

## Detection

Here are all detection datasets. They are loaded as a generator spitting out a feature(-vector/image) and a detections(-vector/image). A detection is either a detection_2d, detection_2.5d or detection_3d object defined [here](opendatalake/detection/utils.py).

1. [Bosch TLR](opendatalake/detection/bosch_tlr.py)

2. [Coco (WIP)](opendatalake/detection/coco.py)

3. [Kitti Detection (incl. 3d)](opendatalake/detection/kitti_detection.py)

4. [Pascal Voc 3d (WIP)](opendatalake/detection/pascal_voc_3d.py)

5. [Udacity Autti (WIP)](opendatalake/detection/udacity_autti.py)

6. [Udacity Crowdai (WIP)](opendatalake/detection/udacity_crowdai.py)

## Unlabeled

Here are all unlabeled datasets. They are loaded as a generator spitting out a feature(-vector/image).

1. [Image Folder](opendatalake/unlabeled/image_folder.py)