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LAVIS is an open-source Salesforce library for vision-language AI research that centralizes tasks, models, and datasets into a single framework. It provides a dataset zoo with auto-downloading/loading, a model zoo, a unified feature extraction interface, and tools for inference with pre-trained models and benchmarking. The project includes installation guides, tutorials, and examples for training and evaluating models on task-specific datasets (such as ALBEF, BLIP, CLIP, and ALPRO) and fine-tuning on datasets like COCO-Captioning.
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