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I have searched the Pytorch-Wildlife issues and found no similar bug report.
Description
Are marine mammals within the scope of MegaDetector, or is it strictly for camera trap images? Photo-identification is a crucial tool for marine biologists studying space-use, movement, behavior, abundance, etc., since many marine mammals have natural or acquired marks. We have fairly robust algorithms for individual identification, but these algorithms require cropped images.
It would be great to be able to use MegaDetector to crop the images. I love the API since it's so easy to use and could be more widely distributed than anything we develop in house. In terms of training data, there is this Kaggle competion, where several competitors manually annotated images, and trained some older YOLO models. The results were imperfect, but reasonably effective.
Use case
This feature would be used the same way that biologists used the detection algorithms in MegaDetector. But these would be marine mammal biologists, rather than terrestrial folks using camera traps.
Additional
No response
Are you willing to submit a PR?
Yes I'd like to help by submitting a PR!
The text was updated successfully, but these errors were encountered:
Thank you for reaching out and bringing this to our attention. We are indeed interested in broadening the applications of MegaDetector, and marine mammals could certainly fall within the scope of our project.
We're currently in the process of training a new model that aims to detect multiple species in overhead data, which includes marine animals. This addition could potentially align with the requirements you've mentioned for photo-identification in marine biology research. This new model we're developing also includes a preprocessing and postprocessing pipeline designed to crop and stitch images, which should address the specific functionality you're interested in. Our aim is to release this new model early next year, and we're excited about the potential it has to aid marine mammal biologists in their important work.
As for the dataset from the Kaggle competition you've referenced, we will definitely review it to determine if it could be integrated into our training pipeline. Please keep an eye on our repository for updates, and we'll make sure to communicate our progress as we move forward.
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Description
Are marine mammals within the scope of MegaDetector, or is it strictly for camera trap images? Photo-identification is a crucial tool for marine biologists studying space-use, movement, behavior, abundance, etc., since many marine mammals have natural or acquired marks. We have fairly robust algorithms for individual identification, but these algorithms require cropped images.
It would be great to be able to use MegaDetector to crop the images. I love the API since it's so easy to use and could be more widely distributed than anything we develop in house. In terms of training data, there is this Kaggle competion, where several competitors manually annotated images, and trained some older YOLO models. The results were imperfect, but reasonably effective.
Use case
This feature would be used the same way that biologists used the detection algorithms in MegaDetector. But these would be marine mammal biologists, rather than terrestrial folks using camera traps.
Additional
No response
Are you willing to submit a PR?
The text was updated successfully, but these errors were encountered: