README.md

metadata

license: cc-by-4.0
task_categories:
  - image-classification
language:
  - en
tags:
  - insects
  - pollinators
  - biodiversity
  - ecology
  - conservation
  - entomology
  - lepidoptera
  - hymenoptera
  - coleoptera
  - diptera
  - computer-vision
pretty_name: Pollinator Insects Dataset
size_categories:
  - 1K<n<10K
viewer: true
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: validation
        path: data/validation.csv
      - split: test
        path: data/test.csv
dataset_info:
  features:
    - name: image_path
      dtype: string
    - name: image_filename
      dtype: string
    - name: split
      dtype: string
    - name: label
      dtype: class_label
      names:
        '0': Acmaeodera flavomarginata
        '1': Acromyrmex octospinosus
        '2': Adelpha basiloides
        '3': Adelpha iphicleola
        '4': Aedes aegypti
        '5': Agrius cingulata
        '6': Anaea aidea
        '7': Anartia fatima
        '8': Anartia jatrophae
        '9': Anoplolepis gracilipes
    - name: scientific_name
      dtype: string
    - name: common_name
      dtype: string
    - name: family
      dtype: string
    - name: order
      dtype: string
    - name: pollinator_type
      dtype: string
    - name: habitat
      dtype: string
    - name: geographic_range
      dtype: string
    - name: conservation_status
      dtype: string
    - name: image_width
      dtype: int32
    - name: image_height
      dtype: int32
    - name: image_mode
      dtype: string
    - name: file_size_bytes
      dtype: int64
  splits:
    - name: train
      num_examples: 7186
    - name: validation
      num_examples: 899
    - name: test
      num_examples: 898

Pollinator Insects Dataset 🦋

Comprehensive dataset of 10 pollinator insect species for computer vision and biodiversity research

🤖 Trained Model • 📊 Dataset Viewer • 📖 Repository

Dataset Description

The Pollinator Insects Dataset is a curated collection of 8,983 high-resolution images representing 10 ecologically important pollinator species. This dataset was specifically designed for:

• 🔬 Biodiversity research and species monitoring
• 🤖 Computer vision model development
• 🌱 Conservation biology applications
• 📱 Citizen science and educational tools
• 📊 Ecological modeling and analysis

Key Features

• 🦋 10 species from 4 major insect orders
• 📸 8,983 images with natural variation in pose, lighting, and background
• 🏷️ Rich metadata including taxonomy, ecology, and conservation status
• ⚖️ Balanced distribution across species and data splits
• 📊 Ready-to-use splits (80% train, 10% validation, 10% test)
• 🔍 Quality controlled with expert validation
• 📐 High resolution images

Species Information

ID	Scientific Name	Common Name	Family	Order	Pollinator Type
0	Acmaeodera flavomarginata	Flat-headed borer	Buprestidae	Coleoptera	Secondary pollinator
1	Acromyrmex octospinosus	Leafcutter ant	Formicidae	Hymenoptera	Indirect pollinator
2	Adelpha basiloides	Sister butterfly	Nymphalidae	Lepidoptera	Primary pollinator
3	Adelpha iphicleola	Sister butterfly	Nymphalidae	Lepidoptera	Primary pollinator
4	Aedes aegypti	Yellow fever mosquito	Culicidae	Diptera	Occasional pollinator
5	Agrius cingulata	Pink-spotted hawkmoth	Sphingidae	Lepidoptera	Specialized night pollinator
6	Anaea aidea	Tropical leafwing	Nymphalidae	Lepidoptera	Primary pollinator
7	Anartia fatima	Banded peacock	Nymphalidae	Lepidoptera	Primary pollinator
8	Anartia jatrophae	White peacock	Nymphalidae	Lepidoptera	Primary pollinator
9	Anoplolepis gracilipes	Yellow crazy ant	Formicidae	Hymenoptera	Indirect pollinator

Quick Start

Basic Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("leonelgv/pollinator-insects-dataset")

# Access different splits
train_data = dataset["train"]
val_data = dataset["validation"] 
test_data = dataset["test"]

# Load an example
example = train_data[0]
print(f"Species: {example['scientific_name']}")
print(f"Label: {example['label']}")
print(f"Family: {example['family']}")

Dataset Statistics

Overview

• Total Images: 8,983
• Number of Classes: 10
• Image Formats: JPEG, PNG
• Total Dataset Size: ~1.2 GB

Data Splits

Split	Images	Percentage
Train	7,186	80%
Validation	899	10%
Test	898	10%

Applications

This dataset is designed for:

• 🔬 Biodiversity Research: Species identification and monitoring
• 🌱 Conservation Biology: Pollinator population studies
• 📱 Mobile Applications: Real-time field identification
• 🎓 Educational Tools: Teaching entomology and ecology
• 🤖 Computer Vision: Benchmarking classification models

Benchmarks

Model	Top-1 Accuracy	Top-5 Accuracy	Parameters
YOLOv8 Nano	92.07%	99.12%	3.2M

Citation

@dataset{pollinator_insects_2024,
  title={Pollinator Insects Dataset: A Comprehensive Collection for Species Classification},
  author={Leonel Gonzalez Vidales},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/leonelgv/pollinator-insects-dataset}
}

License

This dataset is released under the CC-BY-4.0 license.

Contact

• Author: Leonel Gonzalez Vidales
• Email: leonelgv@gmail.com
• GitHub: l3onet

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🌍 Supporting pollinator conservation through open science

📊 Dataset • 🤖 Model