A 153-species arachnid classifier (spiders, scorpions, ticks, harvestmen) small enough for microcontrollers and the Coral Edge TPU. MobileNetV2 at full width and 160 px, full-integer int8, trained on the iNaturalist 2021 competition data. It fills the gap people hit first with Google's AIY insect model, which has no spiders. Part of species-classifiers. Measured on the int8 file over the 1,530 iNaturalist 2021 validation images for these species (10 per species), with an 87.5% centre crop: The PyTorch checkpoint scores 64.4% top-1. For comparison, Google's stock AIY insect model scores 59.1% top-1 on the iNat2021 species it shares, choosing among 1,022 classes. - Input [1, 160, 160, 3]…
Independent publisher
Michael G
mlgraham
Models in Library2
Datasets in Library0
Models on Hugging Face2
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Published tasks: Image classification.
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Models
A 246-species mammal classifier small enough for microcontrollers and the Coral Edge TPU. MobileNetV2 at full width and 160 px, full-integer int8, trained on the iNaturalist 2021 competition data. Part of species-classifiers, which also rescues Google's AIY Vision Kit insect, plant and bird models into the same shape. Measured on the int8 file over the 2,460 iNaturalist 2021 validation images for these species (10 per species), with an 87.5% centre crop: The PyTorch checkpoint scores 56.1% top-1; int8 costs about a point. Grayscale is reported because the model was trained with 20% random grayscale so it holds up on monochrome cameras such as the Coral Dev Board Micro's. For comparison…