I need help, I am currently working a neural network for object detection. I'm using standford cars dataset from Kaggle as my training and testing dataset. but I have a problem in the annotations. the ground truth boxes are not covering the entire cars. is it like that? or I read it in wrong ways? this is the link if you need to check it. Thanks for helping me. Have a nice day :)
[Stanford Cars Dataset] https://www.kaggle.com/jessicali9530/stanford-cars-dataset
You might find the paper that discusses how the dataset was put together helpful. It was intended for 3D rather than 2D object detection, which could be why the ground truth looks slightly different than you'd expect for 2D modelling.
Link to paper: http://vision.stanford.edu/pdf/3drr13.pdf :)