LVIS (pronounced ‘el-vis’): is a new dataset for Large Vocabulary Instance Segmentation. We collect over 2 million high-quality instance segmentation masks for over 1200 entry-level object categories in 164k images. LVIS API enables reading and interacting with annotation files, visualizing annotations, and evaluating results.
FAQs
Python API for LVIS dataset.
We found that lvis demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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