# QUE-259 tabular-image discriminator -- results

Regions analyzed: 877 across 11 docs
Label totals: {'text_table': 498, 'other_image': 200, 'tabular_image': 117, 'chart_image': 62}

doc          text_table tabular_image chart_image other_image
100064034           110             0           0           8
100199331             0            18           0           2
100377849             0            35           0         130
101215348             0            30          57          35
101230425             0             6           0           2
101243493            12             0           0           0
101425642             0            15           2          13
101449298            21             0           0           0
101644521             0            13           0           1
102049514           353             0           3           1
102174103             2             0           0           8

Native text chars under docling TABLE regions (the discriminator):
  tabular_image (flagged): n=117 min=0 median=0 max=0
  text_table   (passed):   n=498 min=32 median=536 max=4675

Mixed docs (both text and image tables present):