How to Build a Custom Open Images Dataset for Object Detection

Roboflow's blog post by Jacob Solawetz introduces the integration with the Open Images Dataset and the release of two new public datasets: Vehicles Object Detection and Shellfish Object Detection. It outlines the Open Images Dataset, an extensive open-source computer vision object detection dataset released by Google, which contains millions of images and annotations available under a CC BY 4.0 License. The post explains the benefits of creating custom Open Images datasets, such as experimenting with object detection, augmenting training sets, or training custom models for niche tasks. It highlights tools like the OIDv4_ToolKit for querying and downloading specific image classes and the support for converting annotations into multiple formats via Roboflow, making it easier for users to build and train custom object detectors. Furthermore, it emphasizes Roboflow's public sharing of custom datasets, encouraging users to explore and build upon the Open Images data.