---
license: apache-2.0
tags:
- en
- image classification
- fastai
model-index:
- name: ohbugger2k by flobbit
  results:
  - task:
      name: image classification
      type: image-classification
    metrics:
    - name: accuracy
      type: acc
      num_train_epochs: 7
      learning_rate: 0.002
      value: 46
metrics:
- accuracy
pipeline_tag: image-classification
---
    
# Oh! Bugger! 2k Insect Classification

## Model description

The model is used to classify insect images into one of the 2000 North American species/classes. `resnet18` was used for training.

## Intended uses & limitations
The model was trained on 130133 insect images spread over 2000 species with a minimum of 25 pics in a class. Some classes were trained on too few images. The training pics were not screened for quality. For example, giving the model a picture of a human finger will most likely return an insect species that had finger in a training pic. Or a pic of a bug on the siding of a house will likely return that type of match.
There are likely other biases in the training data.

## Training and evaluation data

The images used in training were scraped from the internet.