File size: 2,171 Bytes
b92d5d7 c3359b5 24c9e24 c3359b5 e23791a 6595c26 e23791a c3359b5 |
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 |
---
license: cc
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: embedding
list: float32
length: 512
splits:
- name: train
num_bytes: 232472562
num_examples: 696
download_size: 233200478
dataset_size: 232472562
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- feature-extraction
- zero-shot-classification
- image-classification
- image-to-image
tags:
- biology
size_categories:
- n<1K
source for images:
- Francesco/insects-mytwu
---
## Introduction
This dataset provides CLIP embeddings for images of insects, enabling similarity search and content-based retrieval.
## Source
All images were sourced from [Francesco/insects-mytwu](https://huggingface.co/datasets/Francesco/insects-mytwu).
## Code
If you wish to create a similar dataset then feel free to use the code provided here:
https://github.com/rishik18/CLIP_embedding_based_retrieval
## Sample Usage
```python
from datasets import load_dataset
ds_new = load_dataset("hkanade/insect_image_retrieval")
ds_new["train"][0]["image"]
```
## Examples of image retrieval




## Citation
If you use this dataset, please cite:
> Kanade, H. (2025). *[insect_image_retrieval](https://huggingface.co/datasets/hkanade/insect_image_retrieval)* [Data set]. Hugging Face. Accessed 2025-08-25.
**BibTeX**
```bibtex
@misc{kanade2025insect_image_retrieval,
author = {Hrishikesh Kanade},
title = {insect_image_retrieval},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/hkanade/insect_image_retrieval}},
note = {Hugging Face dataset; accessed 2025-08-25}
} |