A python wrapper library for various datasets.
Project description
## OpenDataLake [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](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.
[Named Folders (Foldername = Label)](opendatalake/classification/named_folders.py)
[MNIST](opendatalake/classification/mnist.py)
ImageNet [TODO]
[Cifar10/Cifar100](opendatalake/classification/cifar.py)
[LFW (named folders)](opendatalake/classification/named_folders.py)
PASCAL VOC [TODO]
Places [TODO]
## Segmentation
Here are all segmentation datasets. They are loaded as a generator spitting out a feature(-vector/image) and segmentation(-vector/image).
[Coco (WIP)](opendatalake/segmentation/coco.py)
CamVid [TODO]
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).
[Bosch TLR](opendatalake/detection/bosch_tlr.py)
[Coco (WIP)](opendatalake/detection/coco.py)
[Kitti Detection (incl. 3d)](opendatalake/detection/kitti_detection.py)
[Pascal Voc 3d (WIP)](opendatalake/detection/pascal_voc_3d.py)
[Udacity Autti (WIP)](opendatalake/detection/udacity_autti.py)
[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).
[Image Folder](opendatalake/unlabeled/image_folder.py)
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