CameraTrapChallenge

(1st Iteration Completed 🏁)

Project Goals

1st Iteration 🏁

1. Identify coherent sequences of images (over time) for both Badger and Deer Dataset ☑️Folder: coherant_sequence/
2. Locate the animals in the images (rough position) ☑️ Folder: custom-yolov7/
3. Classify the animals (badger vs. deer) ☑️ Folder: custom-yolov7/

2nd Iteration : [**In Progress**]

1. Extend the BDD dataset with at least 2 additional species (at least 50 images each, day or day & night) of your choice (called BDD+)
2. Locate the animals in the images (alternative method)
3. Classify the animals into the min. 4 classes (alternative method)

Project

Using analytical and machine learning algorithms for animal detection from terrestrial remote sensing CameraTrap data of a National Park.