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@ankandrew
ankandrew committed May 10, 2024
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -31,10 +31,10 @@ The idea is to use this after a plate object detector, since the OCR expects the

### Available Models

| Model Name | Time b=1<br/> (ms)<sup>[1]</sup> | Throughput <br/> (plates/second)<sup>[1]</sup> | Dataset | Accuracy<sup>[2]</sup> | Dataset |
|:------------------------------------:|:--------------------------------:|:----------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------:|:----------------------:|:-----------------------------------------------:|
| `argentinian-plates-cnn-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset.zip) | 94.05% | Non-synthetic, plates up to 2020. |
| `argentinian-plates-cnn-synth-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset_plus_synth.zip) | 94.19% | Plates up to 2020 + Bike & car synthetic plates |
| Model Name | Time b=1<br/> (ms)<sup>[1]</sup> | Throughput <br/> (plates/second)<sup>[1]</sup> | Dataset | Accuracy<sup>[2]</sup> | Dataset |
|:------------------------------------:|:--------------------------------:|:----------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------:|:----------------------:|:-------------------------------------:|
| `argentinian-plates-cnn-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset.zip) | 94.05% | Non-synthetic, plates up to 2020. |
| `argentinian-plates-cnn-synth-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset_plus_synth.zip) | 94.19% | Plates up to 2020 + synthetic plates. |

_<sup>[1]</sup> Inference on Mac M1 chip using CPUExecutionProvider. Utilizing CoreMLExecutionProvider accelerates speed
by 5x._
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8 changes: 4 additions & 4 deletions docs/index.md
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Expand Up @@ -20,10 +20,10 @@ The idea is to use this after a plate object detector, since the OCR expects the

We currently have the following available models:

| Model Name | Time b=1<br/> (ms)<sup>[1]</sup> | Throughput <br/> (plates/second)<sup>[1]</sup> | Dataset | Accuracy<sup>[2]</sup> | Dataset |
|:------------------------------------:|:--------------------------------:|:----------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------:|:----------------------:|:-----------------------------------------------:|
| `argentinian-plates-cnn-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset.zip) | 94.05% | Non-synthetic, plates up to 2020. |
| `argentinian-plates-cnn-synth-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset_plus_synth.zip) | 94.19% | Plates up to 2020 + Bike & car synthetic plates |
| Model Name | Time b=1<br/> (ms)<sup>[1]</sup> | Throughput <br/> (plates/second)<sup>[1]</sup> | Dataset | Accuracy<sup>[2]</sup> | Dataset |
|:------------------------------------:|:--------------------------------:|:----------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------:|:----------------------:|:-------------------------------------:|
| `argentinian-plates-cnn-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset.zip) | 94.05% | Non-synthetic, plates up to 2020. |
| `argentinian-plates-cnn-synth-model` | 2.1 | 476 | [arg_plate_dataset.zip](https://github.com/ankandrew/fast-plate-ocr/releases/download/arg-plates/arg_plate_dataset_plus_synth.zip) | 94.19% | Plates up to 2020 + synthetic plates. |

_<sup>[1]</sup> Inference on Mac M1 chip using CPUExecutionProvider. Utilizing CoreMLExecutionProvider accelerates speed
by 5x._
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