metadata
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.
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
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 [Data set]. Hugging Face. Accessed 2025-08-25.
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}
}