opendatalab/PDF-Extract-Kit

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Python
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Apache License 2.0
Created 2 months ago
Updated about 1 month ago

opendatalab/PDF-Extract-Kit

opendatalab

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A Comprehensive Toolkit for High-Quality PDF Content Extraction

MinerU

A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

labelU

Data annotation toolbox supports image, audio and video data.

WanJuan1.0

万卷1.0多模态语料

LabelLLM

The Open-Source Data Annotation Platform

VIGC

AAAI 2024: Visual Instruction Generation and Correction

opendatalab-datasets

datasets resource

opendatalab-python-sdk

SDK of OpenDataLab - https://opendatalab.org.cn

labelU-Kit

Data annotation component library --provided as NPM packages

CLIP-Parrot-Bias

ECCV2024_Parrot Captions Teach CLIP to Spot Text

magic-doc

dsdl-docs

Data Set Description Language Specification （新一代人工智能数据集描述语言DSDL）

H2RSVLM

H2RSVLM: Towards Helpful and Honest Remote Sensing Large Vision Language Model

MLLM-DataEngine

MLLM-DataEngine: An Iterative Refinement Approach for MLLM

image-downloader

magic-html

dsdl-sdk

Jupyter Notebook

labelU-frontend

LabelU front-end library

allz

A universal command line tool for compression and decompression

laion5b-downloader

HA-DPO

Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

MLS-BRN

[CVPR 2024] 3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions

Miner-PDF-Benchmark

MPB (Miner-PDF-Benchmark) is an end-to-end PDF document comprehension evaluation suite designed for large-scale model data scenarios.

labelU-ML

s3_browser

基于Streamlit开发，可在线查看S3存储内容的工具。