lvis-dataset/lvis-api
Python API for reading, visualizing, and evaluating the LVIS large vocabulary instance segmentation dataset.
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The LVIS API provides tools to read and interact with annotation files for the LVIS dataset, which contains over 2 million instance segmentation masks across 1200+ object categories. It supports dataset loading, annotation visualization, and evaluation of detection/segmentation model results against the dataset. The API is built on top of the COCO API and is commonly used for training and benchmarking computer vision models.
Frequently asked
- What is lvis-dataset/lvis-api?
- Python API for reading, visualizing, and evaluating the LVIS large vocabulary instance segmentation dataset.
- Is lvis-api open source?
- Yes — lvis-dataset/lvis-api is an open-source project tracked on heatdrop.
- What language is lvis-api written in?
- lvis-dataset/lvis-api is primarily written in Python.
- How popular is lvis-api?
- lvis-dataset/lvis-api has 430 stars on GitHub.
- Where can I find lvis-api?
- lvis-dataset/lvis-api is on GitHub at https://github.com/lvis-dataset/lvis-api.