- Published on November 12, 2020
- In Deep Tech
Deep Dive Into Open Images Dataset: A Large Scale Visual Dataset With Annotations And Bounding Boxes By Google
Open Images contains nearly 9 million images with annotations and bounding boxes, image segmentation, relationships among objects and localized narratives.
- By Jayita Bhattacharyya
Over the years, Computer Vision has dramatically evolved, from just image classification to image segmentation and localization, providing bounding boxes around the detected objects with proper annotation and labels. Now it's taken way forward to visual to speech and text conversions. These advances have inspired many deep learning models to be built for predictions.
Developed by Google in collaboration with CMU and Cornell Universities, Open Images Dataset has set a benchmark for visual recognition. Open Images contains nearly 9 million images with annotations and bounding boxes, image segmentation, relationships among objects and localized narratives. The dataset contains over 600 categories. From version 6 annotations are provided by Google Cloud Vision API. Humans have manually veri
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Jayita Bhattacharyya
Machine learning and data science enthusiast. Eager to learn new technology advances. A self-taught techie who loves to do cool stuff using technology for fun and worthwhile.
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