File size: 2,167 Bytes
5fee89c
 
9e3448e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5fee89c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9e3448e
 
 
 
5fee89c
333173e
5fee89c
 
 
99a0647
 
 
 
 
5fee89c
99a0647
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
---
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Anaji
          '1': Bichi
          '2': Champa
          '3': Deshi
          '4': Shagor
          '5': Shobri
  splits:
  - name: train
    num_bytes: 5952767112
    num_examples: 6000
  download_size: 5082692214
  dataset_size: 5952767112
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Anaji
          '1': Bichi
          '2': Champa
          '3': Deshi
          '4': Shagor
          '5': Shobri
  splits:
  - name: train
    num_bytes: 4358296086
    num_examples: 1166
  download_size: 4389798331
  dataset_size: 4358296086
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  default: true
  data_files:
  - split: train
    path: raw/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# Banana Variety Classification

A dataset for variety classification of bananas. The dataset contains raw and augmented versions.  
The raw dataset contains 1,166 images.  
Images per class:
- Anaji: 209
- Bichi: 182
- Champa: 136
- Deshi: 237
- Shagor: 239
- Shobri: 163

The augmented dataset contains 6,000 images.  
Images per class:
- Anaji: 1,000
- Bichi: 1,000
- Champa: 1,000
- Deshi: 1,000
- Shagor: 1,000
- Shobri: 1,000


This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

```bibtex
@article{sheikh2024bananaset,
  title={BananaSet: a dataset of banana varieties in Bangladesh},
  author={Sheikh, Md Ripon and Hossain, Md Anwar and Hossain, Moazzem and Islam, Md Masudul and Himel, Galib Muhammad Shahriar},
  journal={Data in Brief},
  volume={54},
  pages={110513},
  year={2024},
  publisher={Elsevier}
}
```

Islam, Md Masudul; Sheikh, Ripon; Hossain, Md. Anwar; Hossain, Moazzem ; Himel, Galib Muhammad Shahriar (2024), “BananaSet: A Dataset of Banana Varieties in Bangladesh”, Mendeley Data, V4, doi: 10.17632/35gb4v72dr.4