---
license: mit
base_model: ultralytics/yolov8n-cls
tags:
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- insects
- pollinators
- biodiversity
- ecology
- conservation
datasets:
- custom
language:
- en
metrics:
- accuracy
model-index:
- name: pollinator-classifier
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: Custom Pollinator Insects Dataset
      type: custom
    metrics:
    - type: accuracy
      value: 0.9207
      name: Top-1 Accuracy
    - type: accuracy
      value: 0.9912
      name: Top-5 Accuracy
pipeline_tag: image-classification
---

# Pollinator Insect Classifier 🔬

High-precision classifier for 10 pollinator insect species using YOLOv8 Nano with **92.07% accuracy**.

## Quick Start

```python
from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download("leonelgv/pollinator-classifier", "yolo8n.pt")

# Load and predict
model = YOLO(model_path)
results = model("insect_image.jpg")
```

See files in this repository for complete usage examples and training details.