paper parts Computer Vision Project

Roboflow 100

Updated 2 years ago

2.4k

views

106

downloads
Classes (46)
abstract heading
abstract text
algorithm
author
chapter
claim
claim number
comittee
corollary
corollary number
date
definition
definition number
degree
equation
equation number
example
example caption
figure
figure caption
figure title
footnote
lemma
lemma number
list of content heading
list of content text
page number
paragraph
proposition
proposition number
reference text
reference title
scheme
scheme caption
section
subsection
subsubsection
table
table caption
table of contents text
table of contents title
table title
theorem
theorem number
title
university

Metrics

Try This Model
Drop an image or
Description

This dataset was originally created by Aman Ahuja and Alan Devera. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/object-detection-alan-devera/object-detection-ycqjb.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            paper-parts_dataset,
                            title = { paper parts Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow 100 },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-100/paper-parts } },
                            url = { https://universe.roboflow.com/roboflow-100/paper-parts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-12-21 },
                            }