File size: 1,165 Bytes
3849e29
 
075cf9b
 
 
 
 
393c90b
 
 
 
 
 
 
 
075cf9b
393c90b
075cf9b
 
393c90b
 
 
 
 
7e535db
 
 
 
 
43b61d1
8a676df
43b61d1
 
 
 
 
 
eb202f6
43b61d1
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
---
license: cc-by-nc-nd-4.0
size_categories:
- 10K<n<100K
task_categories:
- image-segmentation
pretty_name: Visaul Font Recognition Dataset
dataset_info:
  features:
  - name: image
    dtype: image
  - name: annotation
    dtype: image
  splits:
  - name: train
    num_bytes: 1011715449.0
    num_examples: 10000
  download_size: 985371934
  dataset_size: 1011715449.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- art
- design
- font
- fonts
---
# Dataset Card

<!-- Provide a quick summary of the dataset. -->

this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions.

### Dataset Description
this dataset is designed for training a model to recognize fonts in images. It comprises images generated from various fonts and placed on canvases with varying RGB color combinations, ensuring the model learns to identify fonts under diverse conditions.

- **Curated by:** Mate Tcholokava
- **License:** cc-by-nc-nd-4.0