What is the Open Images Dataset? A Deep Dive.

The Open Images Dataset, released by Google in 2016 and regularly updated, is one of the largest and most diverse collections of labeled images, boasting over nine million images across nearly 20,000 categories. Its latest version, Open Images V7, was introduced in 2022, offering a wide range of high-quality annotations, including image-level labels, bounding boxes, segmentation masks, relationship annotations, localized narratives, and point-level labels. These features make it invaluable for training and evaluating computer vision models across various applications like manufacturing, retail, robotics, and smart city technologies. Despite its extensive annotations, challenges such as data volume management and annotation consistency remain. The dataset is particularly useful for developing robust models capable of handling diverse real-world scenarios, although the differences in performance gains among top models are becoming minimal due to the dataset's advanced benchmarks.