I’m looking for REST API documentation to train an object detection model using my own dataset (which has labels in KITTI data format) using DetectNet with Caffe framework. I looked into REST API documentation for classification and regression tasks in the following link -https://github.com/NVIDIA/DIGITS/blob/master/docs/API.md#regression
But, this link doesn’t have good explanation on how to use a custom object detection dataset (with labels in KITTI format) to train DetectNet model using Caffe. Essentially, I’m looking for an API call which I could use to create a training job on DIGITS for object detection and to obtain model file (snapshot_iter_xxx.caffemodel) after training is complete. Please point me in the right direction. Any help would be appreciated.