Dataset Card for LVIS 35k This is a FiftyOne dataset with 35000 samples. NOTE: This is only a 35k sample subset of the full dataset. The notebook recipe for creating this, and the full, dataset can be found here Installation If you haven't already, install FiftyOne: Usage Dataset Details Dataset Description LVIS (pronounced 'el vis') is a dataset for large vocabulary instance segmentation, introduced by researchers from Facebook AI. It contains annotations for over 1000 object categories across 164k images. The full dataset is planned to have ~2 million high quality instance segmentation masks. The categories in LVIS follow a natural long tail distribution, with a few common categories and many rare ones with few training examples. This long tail poses a challenge for current state of the art object detection methods which struggle with low sample categories. The vocabulary was constructed iteratively, starting from 8.8k concrete noun synsets in WordNet and filtering down to the final set[4]. LVIS can be used for instance segmentation, semantic segmentation, and object detection tasks. The dataset aims to focus the research community on the open challenge of long tail object recogn…
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