American Sign Language Letters Computer Vision Project

David Lee

Updated 3 years ago

990

views

56

downloads
Classes (30)
0
1
2
3
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
Description

Overview

The American Sign Language Letters dataset is an object detection dataset of each ASL letter with a bounding box. David Lee, a data scientist focused on accessibility, curated and released the dataset for public use.

Example Image

Use Cases

One could build a model that reads letters in sign language. For example, Roboflow user David Lee wrote about how he made the model demonstrated above in this blog post

Using this Dataset

Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings, or additional augmentations to make your model generalize better.

About Roboflow

Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.

Developers build computer vision models faster and more accurately with Roboflow.

Roboflow Workmark

Supervision

Build Computer Vision Applications Faster with Supervision

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

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            american-sign-language-letters-rarfr_dataset,
                            title = { American Sign Language Letters Dataset },
                            type = { Open Source Dataset },
                            author = { David Lee },
                            howpublished = { \url{ https://universe.roboflow.com/gerdus-kemp/american-sign-language-letters-rarfr } },
                            url = { https://universe.roboflow.com/gerdus-kemp/american-sign-language-letters-rarfr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { sep },
                            note = { visited on 2024-11-08 },
                            }