What's New?

Deepfaune in Our Model Zoo!!

• We are excited to announce the release of the Deepfaune models—both the detector and classifier—in PyTorch-Wildlife, adding to our growing model zoo. A huge thank you to the Deepfaune team for your support! Deepfaune is one of the most comprehensive models focused on the European ecosystem for both detection and classification. It serves as a...

What's New

• In this version of Pytorch-Wildlife, we are happy to release our detection fine-tuning module, with which users can fine-tune their own detection model from any released pre-trained MegaDetectorV6 models. Besides, this module also has functionalities that help users to prepare their datasets for the fine-tunin...

🎉🎉🎉 Pytorch-Wildlife Version 1.1.0

MegaDetectorV6 is finally out

After a few months of public beta testing, we are finally ready to officially release our 6th version of MegaDetector, MegaDetectorV6! In the next generation of MegaDetector, we are focusing on computational efficiency, performance, mordernizing of model architectures, and licensing. We have trained multiple new models usin...

Hello everyone! We have just updated Pytorch-Wildlife to version 1.0.2.4. This is a small update but fixes some bugs related to result outputs reported in issue https://github.com/microsoft/CameraTraps/issues/428 . Besides the bug fixes, we have also added a HuggingFace demo and have two google colab demos [Image_detection_demo](https://...

We have just updated Pytorch-Wildlife to version 1.0.2. Although this is a relatively minor release in terms of the package itself, it is a big update with the addition of a module many have requested: the classification fine-tuning module.

In the Pytorch-Wildlife package, we've introduced an additional default classification model trained on the [Snapshot Serengeti](https://lila.science/datase...