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.
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Space using flobbit/ohbugger2k 1
Evaluation results
- accuracyself-reported46.000