ModelsClassification
BLIP
Classification
Image Tagging
Image Captioning
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BLIP

Salesforce
•
GitHubGitHub
•
star
4.1k+
stars
•
BSD-3-Clause
license
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Released
Feb 15, 2022
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Arxiv logo markPaper

Overview

BLIP (Bootstrapping Language-Image Preprocessing) is a multimodal model developed by Salesforce Research. BLIP can be used for visual question answering and image classification. BLIP has been superseded by BLIPv2, also maintained by Salesforce Research.

Performance

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Label Data Automatically with BLIP

You can automatically label a dataset using BLIP 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 BLIP to train a computer vision model.
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Use BLIP to Build Computer Vision Pipelines and Applications
Images

Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMaker
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
Code Compare

Compare to Related Models

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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.
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Architecture

Frameworks

Annotation Format

Popular BLIP Use Cases

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BLIP Integrations

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