BLIPv2 is a multimodal model developed by Salesforce Research.
Overview
BLIPv2 is a multimodal model developed by Salesforce Research. You can use BLIPv2 for visual question answering and zero-shot image classification. BLIPv2 supersedes BLIP, offering superior performance.
Performance
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Label Data Automatically with BLIPv2
You can automatically label a dataset using BLIPv2 with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use BLIPv2 to train a computer vision model.
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Deploy to Production
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Convert Annotation Format
YOLOv8 uses the uses the YOLOv8 PyTorch TXT annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.
