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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.

  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)

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