Hi, I’m doing some research and playing with the waymo dataset. To start I’m doing simple 2d object detection on their subset of data with 2d bounding boxes. Has anyone done similar? I am having trouble setting an expectation of accuracy.

Furthermore the dataset seems to be chunked into individual drive segments, where a lot of the images are temporally ‘close’ meaning the same cars are in the frame. I believe this is causing early overfitting. Wanted to see if anyone else is experiencing this.

Thanks!