{ "info": { "author": "Michael Fuerst", "author_email": "mail@michaelfuerst.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Programming Language :: Python" ], "description": "## OpenDataLake [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n\nSince it is all about data, this are data wrappers for common datasets which load the data into a common structure.\n\nThere are handlers for several datasets.\nTo get you started quickly.\n\n## Install\n\nSimply install it via pip.\n\n```bash\npip install opendatalake\n```\n\n## Classification\n\nHere are all classification datasets.\nThey are loaded as a generator spitting out a feature(-vector/image) and a one-hot-encoded label.\n\n1. [Named Folders (Foldername = Label)](opendatalake/classification/named_folders.py)\n2. [MNIST](opendatalake/classification/mnist.py)\n3. ImageNet [TODO]\n4. [Cifar10/Cifar100](opendatalake/classification/cifar.py)\n5. [LFW (named folders)](opendatalake/classification/named_folders.py)\n6. PASCAL VOC [TODO]\n7. Places [TODO]\n\n## Segmentation\n\nHere are all segmentation datasets.\nThey are loaded as a generator spitting out a feature(-vector/image) and segmentation(-vector/image).\n\n1. [Coco (WIP)](opendatalake/segmentation/coco.py)\n2. CamVid [TODO]\n3. Cityscapes [TODO]\n\n\n## Detection\n\nHere are all detection datasets.\nThey are loaded as a generator spitting out a feature(-vector/image) and a detections(-vector/image).\nA detection is either a detection_2d, detection_2.5d or detection_3d object defined [here](opendatalake/detection/utils.py).\n\n1. [Bosch TLR](opendatalake/detection/bosch_tlr.py)\n2. [Coco (WIP)](opendatalake/detection/coco.py)\n3. [Kitti Detection (incl. 3d)](opendatalake/detection/kitti_detection.py)\n4. [Pascal Voc 3d (WIP)](opendatalake/detection/pascal_voc_3d.py)\n5. [Udacity Autti (WIP)](opendatalake/detection/udacity_autti.py)\n6. [Udacity Crowdai (WIP)](opendatalake/detection/udacity_crowdai.py)\n\n## Unlabeled\n\nHere are all unlabeled datasets.\nThey are loaded as a generator spitting out a feature(-vector/image).\n\n1. 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