Hugging Face's logo

Datasets:
leonelgv
/
pollinator-insects-dataset

Tasks:
Image Classification
Languages:
English
Size:
1K<n<10K
Tags:
insects
pollinators
biodiversity
ecology
conservation
entomology
License:
Dataset card Files Community
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Please provide either num_classes, names or names_file.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1664, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1621, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 992, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 386, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2035, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1888, in from_dict
                  obj = generate_from_dict(dic)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1468, in <dictcomp>
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1484, in generate_from_dict
                  return class_type(**{k: v for k, v in obj.items() if k in field_names})
                File "<string>", line 5, in __init__
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1008, in __post_init__
                  raise ValueError("Please provide either num_classes, names or names_file.")
              ValueError: Please provide either num_classes, names or names_file.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Pollinator Insects Dataset 🦋

Dataset Size Classes License Task

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

🌍 Supporting pollinator conservation through open science

📊 Dataset • 🤖 Model

Downloads last month
548