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Datasets Tools

The goal is to gather some useful resources that will help both beginners and advanced users creating and/or processing their datasets.

Datasets repositories

VisualData.io: A search engine that references hundreds of datasets.

Roboflow Datasets: Roboflow hosts free public computer vision datasets in many popular formats (including CreateML JSON, COCO JSON, Pascal VOC XML, YOLO v3, and Tensorflow TFRecords).

Open Images: Huge dataset containing more than 1,700,000 images with related bounding boxes, and 600 classes.

Datasets creation tools

OIDv4 ToolKit: Open Images Dataset v4 Toolkit.

Object Detection

  • download any of the 600 classes of the dataset individually, taking care of creating the related bounding boxes for each downloaded image
  • download multiple classes at the same time creating separated folder and bounding boxes for each of them
  • download multiple classes and creating a common folder for all of them with a unique annotation file of each image
  • download a single class or multiple classes with the desired attributes
  • use the practical visualizer to inspect the donwloaded classes

Image Classification

  • download any classes in a common labeled folder
  • exploit tens of possible commands to select only the desired images

Useful tools such annotations tools

Remo: a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a private server for team collaboration, or embedded in Jupyter Notebooks.

VoTT (Visual Object Tagging Tool): annotation and labeling tool for image and video assets. VoTT can be installed as a native application or run from source. VoTT is also available as a stand-alone Web application and can be used in any modern Web browser.