Role in this project:
ML Engineer Contributions:10 commits, 7 pushes in 5 days
Contributions summary:Nicholas primarily updated the notebook `2. Training_and_Detection.ipynb`, which suggests a focus on the training and detection aspects of the project. The commits reflect changes related to setting up paths, downloading pre-trained models, creating a label map, and creating TF records. These modifications indicate an involvement in configuring the model training pipeline and potentially adapting it for specific object detection tasks.