Is it possible to keep all the images in one folder for tensorflow object detection API
In case you already have separate record files for train and eval (validation/test), then it's okay.
You simply put the pathes of the corresponding records in 
tf_record_input_reader {
    input_path: "/path/to/record/record_name.record"
    }
once for train_input_reader and once for eval_input_reader. In case the records are split into shards, than use the format of 
input_path: "/path/to/record/record_name.record-?????-of-00010" (instead of 10 - number of shards).
I am new to tensorflow and it’s object detection API. In its tutorial, it’s said that the images must be separated into train/ and test/ folders. Actually I am working on a server where my entire data is kept in a folder called ‘images’ and I don’t want to either change it’s structure or create another copy of it. 
However, I have created separate train.record and test.record files as well and it’s just that I want all my images to be in one folder together. Is it possible? If yes , then which of files need to be modified? Thanks