Difference between revisions of "Evaltex"
From LRDE
| Line 18: | Line 18: | ||
TODO add local XML file and global XML file |
TODO add local XML file and global XML file |
||
| − | == Performance measurements == |
+ | ==== Performance measurements ==== |
| + | * RG = Global Recall |
||
| + | * PG = Global Precision |
||
| + | |||
| + | * R_quant = Quantitative Recall |
||
| + | * R_qual = Qualitative Recall |
||
Revision as of 13:07, 8 January 2016
EvaLTex (Evaluating Text Localization) is an evaluation tool used to measure the performance of text detection algorithms. It takes as input text detection results that can be represented either by coordinates or by masks and outputs performance scores.
XML format
Input
The framework takes as input XML files containing the coordinates of the bounding boxes surrounding the text objects and compares it to another XML file representing the ground truth (GT). The GT XML format differs slightly from the result format. Its attributes are:
- name : the image name
- size : image size
- region : 1st level components
Mask representation
In addition to bounding boxes, text objects can also be represented using masks. EvaLTex takes as input binary images (white corresponds to text). TODO add images
Output
The output consists in a local valuation (for each image), as well as a global evaluation (one XML file for a whole database).
TODO add local XML file and global XML file
Performance measurements
- RG = Global Recall
- PG = Global Precision
- R_quant = Quantitative Recall
- R_qual = Qualitative Recall