asgersvenning/MAMBO-v3

Have you look at a bird and said "Boahh if only I know what bird that is". Unless you're an avid bird spotter (or just love birds in general), it's hard to differentiate some species of birds. Well you're in luck, turns out you can use a image classifier to identify bird species!

A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40 million pan-cancer histology tiles from TCGA-COAD.

## Model Description The "Bird Species Classifier" is a state-of-the-art image classification model designed to identify various bird species from images. It uses the EfficientNet architecture and has been fine-tuned to achieve high accuracy in recognizing a wide range of bird species.

A binary healthy hard coral vs bleached hard coral classifier built on top of the ReefNet species LoRA model BobDerBaum/bioclip-2.5-vith14-reefnet-lora, which provides the fine-tuned vision-encoder LoRA adapters. Only a small linear head is trained on top (frozen backbone + LoRA + 2-way linear…

Agricultural machine learning platform

ONNX export of the Cellpose cpsam (Cellpose-SAM) model for cell segmentation in microscopy images.