Model card
DTrOCR 105M.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DTrOCR 105M has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | benchmarking-chinese-text-recognition:-datasets,-b | Computer Vision · Optical Character Recognition | accuracy | 89.6% | #1 | 2023-08-30 | source ↗ |
| 02 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 99.4% | #1 | 2023-08-30 | source ↗ |
| 03 | iiit5k | Computer Vision · Scene Text Recognition | accuracy | 99.6% | #1 | 2023-08-30 | source ↗ |
| 04 | svtp | Computer Vision · Scene Text Recognition | accuracy | 98.6% | #1 | 2023-08-30 | source ↗ |
| 05 | svt | Computer Vision · Scene Text Recognition | accuracy | 98.9% | #2 | 2023-08-30 | source ↗ |
| 06 | icdar2015 | Computer Vision · Optical Character Recognition | accuracy | 93.5% | #3 | 2023-08-30 | source ↗ |
| 07 | cute80 | Computer Vision · Scene Text Recognition | accuracy | 99.1% | #5 | 2023-08-30 | source ↗ |
| 08 | IAM | Computer Vision · Handwriting Recognition | cer | 2.4% | #19 | 2023-08-30 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for DTrOCR 105M.
- 2023-08-30· Computer Vision· 8 results
DTrOCR: Decoder-only Transformer for Optical Character Recognition
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
8
results
8 of 8 rows marked verified.