Edit model card

Predicts Flowers from a set of 16827 classes. Output is logits. Labels format: scientific name, common name (if available)

Trained on data from: GBIF.org (14 April 2022) GBIF Occurrence Download https://doi.org/10.15468/dl.8hv7pt

Classification head built on top of EfficentnetV2-M-21k feature extractor for CrossPrism on MacOS.

Compressed using 8-bit quantization.

Downloads last month
4
Inference Examples
Unable to determine this model's library. Check the docs .

Space using crossprism/nature_flowers 1