Thanks,
Each image is labelled with one of three numbers for each object class:

-1 (no objects of this class feature in the image)
1 (at least one object of this class features in the image)
0 (at least one object of this class features in the image but they are all difficult to recognise)

Each object class file (e.g.  aeroplane.txt ) contains the name of the image without the extension (e.g.  2008_007739 ) followed by a space and then the class label (e.g.  -1 ).
structure of the data in one of the labels:
2008_000002  -1
0      2008_000003  -1
1      2008_000007  -1
2      2008_000008  -1
3      2008_000009  -1
4      2008_000015  -1
…            …  …
11534  2011_003269  -1
11535  2011_003271  -1
11536  2011_003274  -1
11537  2011_003275  -1
11538  2011_003276  -1
I am thinking of setting up a single labels folder that would include the name of the object the image file name and then in front of it a 0 or a 1 (0 means the object exists with a low probability and one means it exists with a high probability)  that single labels file should work with the option you guided me to.
Only problem I am thinking about can I use the 0 and the 1 (high and low probability) to set up a better preforming network.