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# Cops-Ref Dataset |
This txt file gives explanations for the annotation format of Cops-Ref (refGQA_v0.json). |
The annotation format is similar to that of MattNet (Yu et al., CVPR 2018). The annotation dictionary contains 9 keys, including refs, images, anns, cat_to_ix, word_to_ix, label_length, sentences, att_to_ix and att_to_cnt. |
### refs |
Every element in refs has the following keys |
refs[1000] |
{ |
valid_flag: 1 or -1 # those expression with -1 as valid flag will be discareded. |
split: 'train', 'val' or 'test' |
name: 'woman', 'napkin' # object category name |
box: [x, y, h, w] |
ann_id: 1, 2, ... # index for the referred region |
image_id: '2370370', '2406655' # key for the referred image |
logic: 'chain' # main logic of the expressioni |
ref_id: index for the referring expression |
neg_img_list: |
{ |
'catAndcat': ['2325119', '2406957', '2320024'], |
'random': ['2358081', '2394889', '2361775'], |
'catAndAttr': ['2361313', '2384329', '2390550'], |
'cat': ['2361313', '2352441', '2390550'] |
} # including the index of the distracting image |
sentences: [] # a list of sentence info, including tokens, sent_id, sent |
... |
} |
### images |
image[1000] |
{ |
height: 375 |
width: 500 |
image_id: '2327364' |
ref_ids: [142897, 164127] # referring expressions assoicated with the image |
ann_ids: [46640, 46642, 46643, 46644, 46645, 46646, 46647, 46649, 282639, 377642, 377643, 377644, 377650, 888232, 888253, 1382479, 1382480, 1382481, 1382482, 1382483, 1382484, 1382485] # indexes for regions associated with the images |
... |
} |
### anns |
anns[1000] |
{ |
image_id: '2412166' |
box: [291, 114, 14, 11] |
category_id: 171 # index for the category of the region |
ann_id: 1000 |
} |
### sentences |
{ |
'tokens': # list of words |
'sent_id': # index for the sentence |
... |
} |
### cat_to_ix |
mapping category to index |
### word_to_ix |
mapping word to index |
### att_to_ix |
mapping attributes to index |
### att_to_cnt |
storing counts of most frequent attributes |
### label_length |
maxinum length of the expressions in the baselines |
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