# SegOCR ## Abstract Just a simple Seg-based baseline for text recognition tasks. ## Dataset ### Train Dataset | trainset | instance_num | repeat_num | source | | :-------: | :----------: | :--------: | :----: | | SynthText | 7266686 | 1 | synth | ### Test Dataset | testset | instance_num | type | | :-----: | :----------: | :-------: | | IIIT5K | 3000 | regular | | SVT | 647 | regular | | IC13 | 1015 | regular | | CT80 | 288 | irregular | ## Results and Models | Backbone | Neck | Head | | | Regular Text | | | Irregular Text | download | | :------: | :----: | :--: | :-: | :----: | :----------: | :--: | :-: | :------------: | :------------------------------------------------------------------------------------------------------------------------------------------: | | | | | | IIIT5K | SVT | IC13 | | CT80 | | | R31-1/16 | FPNOCR | 1x | | 90.9 | 81.8 | 90.7 | | 80.9 | [model](https://download.openmmlab.com/mmocr/textrecog/seg/seg_r31_1by16_fpnocr_academic-72235b11.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/seg/20210325_112835.log.json) | ```{note} - `R31-1/16` means the size (both height and width ) of feature from backbone is 1/16 of input image. - `1x` means the size (both height and width) of feature from head is the same with input image. ``` ## Citation ```bibtex @unpublished{key, title={SegOCR Simple Baseline.}, author={}, note={Unpublished Manuscript}, year={2021} } ```