---
tags:
- bertopic
- multimodal
- topic
- topic modeling
library_name: bertopic
datasets:
- maderix/flickr_bw_rgb
---

# BERTopic_flickr_bw_rgb

This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 

## Usage 

To use this model, please install BERTopic:

```
pip install -U bertopic
```

You can use the model as follows:

```python
from bertopic import BERTopic
topic_model = BERTopic.load("b-verma/BERTopic_flickr_bw_rgb")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 24
* Number of training documents: 7216

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | photograph - colorized photograph - colorized - dog - white | 52 | Photography and Dogs | 
| 0 | woman - photograph woman - people - women - photograph | 1697 | Women in Photography | 
| 1 | boy - young - photograph young - photograph - child | 917 | Childhood Joy | 
| 2 | dogs - photograph dogs - white photograph dogs - colorized photograph dogs - photograph | 817 | Dog Photography | 
| 3 | bike - bicycle - riding - photograph - photograph person | 555 | Action Sports Photography | 
| 4 | wave - water - surfer - photograph people - boat | 494 | Surfing and Waves | 
| 5 | man - photograph man - white photograph man - colorized photograph man - black | 367 | Man in Photographs | 
| 6 | girl - young girl - photograph young girl - photograph girl - young | 306 | Childhood Memories | 
| 7 | dog - water - photograph dog - water colorized - water colorized photograph | 293 | Dog Running Through Water | 
| 8 | skateboarder - skateboard - photograph skateboarder - white photograph skateboarder - colorized photograph skateboarder | 221 | Skateboarding Photography | 
| 9 | rock - climbing - photograph man - mountain - man | 217 | Rock Climbing | 
| 10 | soccer - snow - dog - snow black white - snow black | 176 | Snowy Soccer Scenes | 
| 11 | running - dog running - dog - grass - running grass | 172 | Dog Running in Grass | 
| 12 | dog - dog jumping - jumping - dog jumps - white dog | 165 | Dog Jumping | 
| 13 | girls - photograph young girls - young girls - photograph girls - photograph young | 118 | Teenage Girls in Photographs | 
| 14 | football - photograph football - football player - player - football players | 97 | Football Action Photography | 
| 15 | snowboarder - photograph snowboarder - colorized photograph snowboarder - white photograph snowboarder - air | 87 | Snowboarding Aerial Photography | 
| 16 | dog - mouth - toy - photograph dog - ball | 83 | Dog Photography | 
| 17 | bird - flying - photograph white - water - white bird | 75 | Flying Birds | 
| 18 | basketball - playing basketball - men - basketball player - player | 70 | Basketball Player | 
| 19 | skier - photograph skier - white photograph skier - colorized photograph skier - skiing | 68 | Skiing and Photography | 
| 20 | horse - horses - riding - bull - brown horse | 60 | Horse Riding and Jumping | 
| 21 | frisbee - frisbee black white - frisbee black - catch - dog | 56 | Dog and Frisbee Photography | 
| 22 | tennis - tennis player - photograph tennis player - photograph tennis - player | 53 | Tennis Player in Action |
  
</details>

## Training hyperparameters

* calculate_probabilities: True
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.26.4
* HDBSCAN: 0.8.40
* UMAP: 0.5.7
* Pandas: 2.2.3
* Scikit-Learn: 1.6.1
* Sentence-transformers: 3.4.1
* Transformers: 4.49.0
* Numba: 0.61.0
* Plotly: 6.0.1
* Python: 3.10.16