Hugging Face's logo

Datasets:
sperm-net
/
VISEM

Tasks:
Video Classification
Image Feature Extraction
Modalities:
Tabular
Text
Video
Languages:
English
Size:
< 1K
Tags:
sperm
sperm-video
morphology
mortility
Libraries:
Datasets
Dataset card Data Studio Files Community
1
Dataset Viewer
Auto-converted to Parquet
video
video
Serum C14:0 (myristic acid)
float64
0.11
0.44
Serum C16:0 (palmitic acid)
float64
27.3
32.4
Serum C16:1 (palmitoleic acid)
float64
0.2
0.99
Serum C18:0 (stearic acid)
float64
11.8
17
Serum C18:1 n-9 (oleic acid)
float64
7.31
10.1
Serum total C18:1
float64
9.02
12.2
Serum C18:2 n-6 (linoleic acid, LA)
float64
14.7
24.8
Serum C18:3 n-6 (gamma-linoleic acid, GLA)
float64
0.1
0.48
Serum C20:1 n-9
float64
0.09
0.26
Serum C20:2 n-6
float64
0.26
0.44
Serum C20:3 n-6
float64
2.06
4.87
Serum C20:4 n-6
float64
7.14
15.7
Serum C20:5 n-3 (eicosapentaenoic acid, EPA)
float64
0.58
4.72
Serum C22:5 n-3 (docosapentaenoic acid, DPA)
float64
0.98
1.8
Serum C22:6 n-3 (docosahexaenoic acid, DHA)
float64
3.23
8.97
Sperm C14:0 (myristic acid)
float64
0.7
1.8
Sperm C15:0 (pentadecanoic acid)
float64
0.2
0.4
Sperm C16:0 (palmitic acid)
float64
18.4
27.1
Sperm C16:1 n-7 (palmitoleic acid)
float64
0.4
1.7
Sperm C17:0
float64
0.2
0.4
Sperm C18:0 (stearic acid)
float64
7.5
10.6
Sperm C18:1 trans n-6 to n-11
float64
0.1
2.2
Sperm C18:1 n-9 (oleic acid)
float64
3.1
26.1
Sperm C18:1 n-7 to n-11
float64
1.7
2.7
Sperm C18:2 n-6 (Linoleic acid, LA)
float64
2.4
5
Sperm C20:0
float64
0
1.7
Sperm C18:3 n-6 (gamma-linoleic acid, GLA)
float64
0.01
0.98
Sperm C18:3 n-3 (a-linoleic acid, ALA)
float64
0.04
0.11
Sperm C20:1 n-9
float64
0.2
0.8
Sperm C20:2 n-6
float64
0.4
1
Sperm C22:0
float64
0.1
2.2
Sperm C20:3 n-6
float64
1
4.2
Sperm C20:4 n-6 and C22:1 n-9 combined
float64
1.6
4.2
Sperm C20:5 n-3 (eicosapentaenoic acid, EPA)
float64
0.02
0.31
Sperm C24:0
float64
0.1
2.9
Sperm C24:1 n-9
float64
1.2
3.8
Sperm C22:5 n-3 (docosapentaenoic acid, DPA)
float64
0.8
2
Sperm C22:6,n3 (docosahexaenoic acid, DHA)
float64
3.6
30.8
Abstinence time(days)
stringclasses
10 values
Body mass index (kg/m²)
float64
28.1
62.7
Age (years)
int64
23
61
Sperm concentration (x10⁶/mL)
float64
3.8
305
Total sperm count (x10⁶)
float64
6.9
1.29k
Ejaculate volume (mL)
float64
1.3
7.3
Sperm vitality (%)
int64
40
96
Normal spermatozoa (%)
float64
1.4
6.9
Head defects (%)
float64
90.6
98.6
Midpiece and neck defects (%)
float64
8.5
38.6
Tail defects (%)
float64
3.4
38
Cytoplasmic droplet (%)
float64
1
7.5
Teratozoospermia index
float64
1.33
1.68
Progressive motility (%)
int64
0
76
Non progressive sperm motility (%)
int64
4
43
Immotile sperm (%)
int64
10
96
High DNA stainability, HDS (%)
int64
2
15
DNA fragmentation index, DFI (%)
int64
4
80
Seminal plasma anti-Müllerian hormone (AMH) (pmol/L)
int64
1
2.17k
Serum total testosterone (nmol/L)
float64
4
29.1
Serum oestradiol (nmol/L)
float64
0.12
0.18
Serum sex hormone-binding globulin, SHBG (nmol/L)
int64
7
60
Serum follicle-stimulating hormone, FSH (IU/L)
float64
1.1
8.5
Serum Luteinizing hormone, LH (IU/L)
float64
1.1
8.9
Serum inhibin B (ng/L)
int64
58
308
Serum anti-Müllerian hormone, AMH (pmol/L)
int64
10
79
0.36
29.72
0.64
13.67
9
10.9
19.48
0.3
0.16
0.31
3.37
12.07
2.15
1.35
5.53
1.3
0.2
24.3
0.9
0.3
9.7
0.8
9.8
2.4
4.2
0.9
0.02
0.05
0.4
0.5
0.1
4.2
2.5
0.06
1
1.2
1.3
25.3
4.0
32.5
36
105.3
363.1
3.5
81
2
98
11.2
38
3.4
1.54
51
19
30
13
29
64
16.8
0.13
15
2.3
4.2
289
54
0.28
31.22
0.47
11.84
9.02
11.29
20.34
0.22
0.25
0.26
2.06
11.64
2.8
1.04
6.31
1.5
0.2
26.3
1.3
0.3
8.9
0.9
12.1
2.7
4.9
1
0.03
0.09
0.3
0.9
2.1
2.6
2.6
0.14
1.4
1.6
1.6
17.3
4.0
33.7
61
45.4
141.6
3.1
50
3
97
8.5
24.5
2
1.36
22
16
62
13
57
423
15
0.15
43
7.2
2.7
164
19
0.36
27.95
0.47
16.57
8.65
10.36
23.75
0.26
0.19
0.35
3.1
7.37
1.95
0.98
6.34
1.1
0.2
24.8
0.9
0.2
9
0.5
12.3
2.3
3
1.2
0.03
0.07
0.4
0.4
1.9
2.2
3.2
0.17
1.7
2
1.1
21.5
2.0
62.7
51
50
124.5
2.5
90
6.9
90.6
32.8
14.3
1.5
1.51
18
26
56
11
12
37
8.2
0.18
32
4.2
4.8
67
47
0.32
28.1
0.64
16.09
8.56
10.13
21.52
0.17
0.11
0.31
4.41
12.09
1.56
1.32
3.23
1.1
0.2
22.8
1
0.3
9.4
0.9
18.2
2.4
3.2
1.1
0.06
0.06
0.5
0.5
2.1
2.4
2.9
0.09
1.8
2.2
2
14.8
2.5
45.5
38
42.9
103.8
2.4
80
2.8
96.5
24.1
23.1
5.2
1.53
33
26
41
10
15
257
11.2
0.15
11
8.5
5.6
132
29
0.44
30.71
0.76
13.38
10.11
12.18
18.28
0.34
0.25
0.44
4.87
7.14
2.9
1.3
7.01
1.2
0.2
25.1
1.1
0.2
7.6
0.5
12.9
2.6
3.1
0
0.82
0.06
0.4
0.5
1.1
2.3
2
0.05
0.9
1.7
1.1
24.9
20.0
47.9
50
52
228.8
4.4
75
3
96.5
30.8
33.3
2.5
1.68
31
31
38
14
42
521
10.2
0.15
26
4.9
1.1
188
31
0.17
27.33
0.81
15.48
7.31
9.39
19.78
0.2
0.19
0.36
3.02
15.65
1.41
1.05
5.16
1.6
0.3
24
1.3
0.4
10.1
1.3
21.1
2.5
3.7
1.5
0.05
0.1
0.5
0.5
2.1
2.8
2.2
0.07
2.4
2
1
10.8
5.0
41.4
45
13
20.8
1.6
52
3
95.5
38.6
19.9
6
1.62
0
4
96
15
14
228
14.1
0.18
28
3.8
4.8
91
31
0.15
28.89
0.61
15.52
8.5
10.42
24.52
0.2
0.16
0.36
3.29
9.94
0.58
1.07
4.27
1.2
0.4
22.9
1
0.4
9.7
0.6
11.7
2.5
4.5
0.7
0.04
0.07
0.4
0.5
1.3
2.8
2.7
0.07
2.1
1.7
0.8
21
3.0
40.8
28
21
153.3
7.3
86
6.7
90.8
35.3
7.5
4.5
1.48
43
37
20
5
14
32
14.7
0.13
31
4.4
5.5
160
43
0.28
28.03
0.69
16.16
9.42
11.25
19.61
0.48
0.16
0.43
3.34
8.62
2.13
1.07
7.77
1.1
0.2
25.3
1.1
0.3
7.9
0.5
11.5
2.3
3.4
0.8
0.03
0.09
0.3
0.5
1.9
1.6
2.8
0.14
1.6
2.2
1.6
23.2
7.0
41.8
59
89
516.2
5.8
40
2.5
97
14.1
29.1
1
1.45
26
42
32
2
80
4
9.1
0.14
27
4.3
1.4
115
23
0.26
29.64
0.37
14.92
7.43
9.02
23.22
0.14
0.19
0.37
2.91
9
1.63
1.22
7.11
1.8
0.2
21.6
1.7
0.2
7.5
1.7
21.6
2.7
4
0
0.64
0.09
0.5
0.6
1.2
1.7
1.6
0.02
1
1.2
0.9
18.6
3.0
28.8
41
97
129
1.3
80
2.4
97
28
9.7
7.3
1.45
11
17
72
6
24
69
18.4
0.15
30
3.35
3.46
197
14
0.2
29.22
0.48
15.34
8.32
9.9
20.98
0.29
0.13
0.31
2.1
9.57
3.39
1.06
7.01
1.8
0.2
20.3
1.7
0.2
8.7
2.2
23.2
2.5
3.3
0
0.98
0.08
0.5
0.4
1.4
1.9
2
0.07
1.2
1.3
0.8
16.1
1.0
28.1
44
74.4
136.1
1.8
88
3.9
96
31
5.8
3.9
1.42
33
30
37
10
4
131
25.8
0.18
39
4.68
8.9
194
38
0.31
28.76
0.49
17.03
7.73
9.37
22.5
0.2
0.09
0.27
3.51
10.75
0.89
1.04
4.8
1.4
0.2
18.4
1.2
0.3
9.2
2
26.1
1.7
3.9
1.2
0.05
0.11
0.8
0.4
2.2
1
4.2
0.31
2.9
3.8
0.8
3.6
3.0
34.7
40
3.8
6.9
1.8
96
4
96
36
17
7.5
1.63
41
43
16
13
15
1
11.4
0.16
16
8.39
3.06
58
10
0.11
32.4
0.38
13.27
8.27
10.08
22.42
0.1
0.17
0.28
2.99
8.51
1.16
1.23
6.9
1.1
0.2
27
0.6
0.3
8.8
0.6
7.5
1.8
2.4
1
0.01
0.05
0.3
0.5
1.6
2.2
2.3
0.07
0.1
2.7
1.1
28.8
6.0
31.2
23
305
1,290.2
4.2
94
3.4
96.6
29.1
3.4
1.5
1.35
62
16
22
6
11
304
17.4
0.15
24
1.69
2.1
139
43
0.32
29.77
0.47
15.89
8.57
10.16
17.91
0.21
0.14
0.37
4.18
9.18
2.16
1.34
7.9
1.4
0.2
24.8
1
0.3
9.3
1.1
13.7
2.2
2.4
1.7
0.03
0.06
0.5
0.4
1.6
3.4
2.1
0.1
2.3
1.8
1.6
16.4
3.0
29.7
36
58.7
169.6
2.9
92
1.4
98.6
35.1
13.3
4.7
1.54
68
16
16
5
25
323
15.9
0.13
22
5.001
4.18
231
28
0.24
29.2
0.2
12.72
7.91
10.1
24.76
0.25
0.26
0.33
2.13
10.83
0.95
1.1
6.92
1.1
0.2
27.1
0.7
0.2
9.1
0.1
5.4
2.2
5
1.7
0.02
0.07
0.4
1
1.7
3
2.6
0.08
2.2
2.1
1.5
23.6
6.0
29.4
32
93.1
315.4
3.4
93
3
97
19
10
3
1.33
60
25
15
8
14
389
29.1
0.16
60
5.94
4.17
158
35
0.29
31.76
0.99
12.89
9.5
11.19
14.72
0.26
0.18
0.31
2.75
9.15
4.72
1.8
8.97
1.2
0.2
23.7
1.1
0.2
9.5
0.8
11.9
2.5
3.5
0
0.85
0.06
0.4
0.5
0.1
1.8
2.7
0.13
1.2
1.8
1.4
23.3
3.0
34.4
27
70.9
418.3
5.9
95
2.5
97.5
34
8
1
1.44
52
28
20
12
13
40
16.4
0.12
23
2.45
5.69
162
46
0.27
29.15
0.4
16.48
7.82
9.17
23.33
0.27
0.11
0.29
4.03
8.76
1.08
1.25
5.4
1.8
0.2
26.9
1.4
0.2
8.3
0.8
9.9
2.3
3.6
0.6
0.02
0.06
0.3
0.5
2
1.6
2.5
0.07
1.2
1.7
1
24.9
Not reported
34.1
50
159
268.7
1.7
95
2.4
97.6
25.5
17.8
3.9
1.48
35
25
40
6
36
37
4
0.14
7
4.68
3.32
170
30
0.3
29.43
0.48
14.46
7.37
9.13
21.64
0.17
0.13
0.29
2.73
10.36
1.64
1.58
7.66
0.7
0.2
26.4
0.4
0.3
10.6
0.1
3.1
1.9
2.8
0.9
0.02
0.04
0.2
0.5
1.7
2.3
3.1
0.08
1.4
2
1.2
30.8
4.0
29.3
34
192
545.3
2.8
94
3.5
96.6
26.1
6.4
2.5
1.36
76
14
10
7
6
2,167
12.4
0.13
31
1.1
3.1
308
79

Dataset Card for VISEM Dataset

Dataset Details

Dataset Description

The VISEM dataset is a multimodal video dataset designed for the analysis of human spermatozoa. It is one of the few open datasets that combine multiple data sources, including videos, biological analysis data, and participant-related information. The dataset consists of anonymized data from 85 different participants, with a focus on improving research in human reproduction, particularly male fertility and semen quality analysis.

  • Curated by: Simula Research Laboratory and Oslo Metropolitan University
  • Funded by [optional]: Norwegian Research Council (ReproAI project, project number 259293/o70)
  • Shared by [optional]: Simula Research Laboratory
  • Language(s) (NLP): Not applicable
  • License: The dataset can be used for research purposes. Commercial use requires approval from the authors.

Dataset Sources [optional]

Uses

The use of the VISEM dataset is restricted to research and educational purposes. Commercial use requires prior written permission. Any publications using or referencing the dataset must cite the dataset paper: https://dl.acm.org/doi/10.1145/3304109.3325814.

Direct Use

The dataset is useful for research in male fertility assessment, machine learning-based semen analysis, and medical image/video processing. Some key applications include:

  • Automatic sperm tracking in real-time
  • Predicting sperm motility and morphology from video data
  • Correlating semen quality with other biological parameters
  • Enhancing computer-aided sperm analysis (CASA) with deep learning techniques

A Sample Notebook showing how to load and extract a frame from this dataset is here.

Out-of-Scope Use

  • Commercial use without prior approval
  • Any use that violates ethical guidelines for medical and biological research

Dataset Structure

The dataset consists of over 35GB of video data and six CSV files containing:

  • Semen analysis data – Standard semen parameters (e.g., sperm motility, sperm count)
  • Fatty acids in spermatozoa – Levels of various fatty acids in sperm cells
  • Fatty acids in serum – Levels of phospholipids from blood samples
  • Sex hormones – Hormone measurements from participants' blood samples
  • Participant-related data – Age, BMI, abstinence time, and other demographic information
  • Video metadata – Mapping between videos and participant IDs

Each participant has one associated video file, with a resolution of 640×480 pixels and a frame rate of 50 fps.

Dataset Creation

Some scripts used to split data into folds in a stratified way: Sperm-Net

Curation Rationale

The dataset was created to improve the understanding of male fertility factors and to encourage interdisciplinary research in multimedia, machine learning, and medical informatics.

Source Data

Data Collection and Processing

  • Participants were recruited between 2008 and 2013.
  • Standard semen analysis followed WHO guidelines (2010 edition).
  • Videos were recorded using a UEye UI-2210C camera mounted on an Olympus CX31 microscope.
  • Fatty acid composition was measured via gas chromatography.
  • Sex hormones were analyzed using standardized blood tests.

Who are the source data producers?

The dataset was collected by researchers from Simula Research Laboratory and Oslo Metropolitan University, in collaboration with medical professionals specializing in reproductive health.

Annotations [optional]

Annotation Process

  • Standard WHO semen analysis was performed manually by laboratory personnel.
  • Motility categories (progressive, non-progressive, immotile) were assigned based on manual assessments.
  • Morphological classifications were determined according to established medical guidelines.

Who are the annotators?

Qualified medical and laboratory professionals specializing in semen analysis.

Personal and Sensitive Information

All data has been anonymized. The dataset does not contain personally identifiable information but does include demographic and biological data.

Bias, Risks, and Limitations

  • The dataset includes only 85 participants, which may limit generalizability.
  • Participants were recruited primarily from Norway, which may introduce geographic bias.
  • Some dataset attributes (e.g., sperm motility) may vary significantly between individuals, requiring careful interpretation.

Recommendations

Users should be aware of dataset biases and limitations. Future expansions with larger and more diverse populations are recommended to improve generalizability.

Citation [optional]

BibTeX:

@inproceedings{haugen2019visem,
  author = {Haugen, Trine B. and Hicks, Steven A. and Andersen, Jorunn M. and Witczak, Oliwia and Hammer, Hugo L. and Borgli, Rune and Halvorsen, Pål and Riegler, Michael},
  title = {VISEM: A Multimodal Video Dataset of Human Spermatozoa},
  booktitle = {Proceedings of the 10th ACM Multimedia Systems Conference},
  year = {2019},
  pages = {6},
  doi = {10.1145/3304109.3325814}
}

APA:

Haugen, T. B., Hicks, S. A., Andersen, J. M., Witczak, O., Hammer, H. L., Borgli, R., Halvorsen, P., & Riegler, M. (2019). VISEM: A Multimodal Video Dataset of Human Spermatozoa. Proceedings of the 10th ACM Multimedia Systems Conference. https://doi.org/10.1145/3304109.3325814

Glossary [optional]

  • CASA: Computer-aided sperm analysis
  • Motility: The ability of sperm to move effectively
  • Morphology: The shape and structure of spermatozoa
  • Teratozoospermia Index: A measure of abnormal sperm morphology

More Information [optional]

For further inquiries, visit the dataset repository or read the original paper.

Dataset Card Authors [optional]

  • Compiled by ChatGPT based on official sources

Dataset Card Contact

For inquiries regarding the dataset, contact Simula Research Laboratory at Simula Contact.

Downloads last month
468
Size of the auto-converted Parquet files:
238 kB
Number of rows:
85