Scene Text Detection On Icdar 2017 Mlt 1
Metriken
F-Measure
Precision
Recall
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | F-Measure | Precision | Recall |
|---|---|---|---|
| fots-fast-oriented-text-spotting-with-a | 70.75% | 81.86 | 62.3 |
| geometry-normalization-networks-for-accurate | 74.54% | 79.63 | 70.06 |
| convolutional-character-networks | 73.42% | 77.07 | 70.1 |
| pyramid-mask-text-detector | 80.13% | 84.42 | 76.25 |
| fots-fast-oriented-text-spotting-with-a | 67.25% | 80.95 | 57.51 |
| 191209629 | 79.47% | 82.75 | 76.44 |
| convolutional-character-networks | 75.77% | 81.27 | 70.97 |
| character-region-awareness-for-text-detection | - | 80.6 | 68.2 |
| mask-r-cnn-with-pyramid-attention-network-for | 74.3% | 80 | 69.8 |
| multi-oriented-scene-text-detection-via | 66.8% | 83.8 | 55.6 |
| scene-text-detection-with-supervised-pyramid | 74.1% | 80.6 | 68.6 |
| shape-robust-text-detection-with-progressive-1 | 72.13% | 75.35 | 69.18 |
| multi-oriented-scene-text-detection-via | 72.4% | 74.3 | 70.6 |
| shape-robust-text-detection-with-progressive | 72.45% | 77.01 | 68.4 |