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README.md
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metrics:
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- name: mIoU
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type: mIoU
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value:
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- name: Overall Accuracy
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type: OA
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value: 76.
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- name: Fscore
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type: Fscore
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value:
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- name: Precision
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type: Precision
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value:
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- name: Recall
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type: Recall
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value:
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- name: IoU Buildings
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type: IoU
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value: 78.
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- name: IoU Pervious surface
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type: IoU
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value: 52.
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- name: IoU Impervious surface
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type: IoU
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value: 72.
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- name: IoU Bare soil
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type: IoU
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value: 59.
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- name: IoU Water
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type: IoU
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value: 87.
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- name: IoU Coniferous
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type: IoU
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value: 62.
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- name: IoU Deciduous
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type: IoU
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value: 71.
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- name: IoU Brushwood
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type: IoU
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value: 31.
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- name: IoU Vineyard
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type: IoU
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value: 76.
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- name: IoU Herbaceous vegetation
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type: IoU
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value: 51.
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- name: IoU Agricultural land
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type: IoU
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value: 57.
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- name: IoU Plowed land
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type: IoU
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value: 43.
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- name: IoU Swimming pool
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type: IoU
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value: 41.
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- name: IoU Greenhouse
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type: IoU
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value: 63.
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pipeline_tag: image-segmentation
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---
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#### Metrics
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With the evaluation protocol, the **FLAIR-INC_rgbi_15cl_resnet34-unet** have been evaluated to **OA= 76.
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The _snow_ class is discarded from the average metrics.
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The following table give the class-wise metrics :
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| **average** | **
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metrics:
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- name: mIoU
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type: mIoU
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value: 60.718
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- name: Overall Accuracy
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type: OA
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value: 76.259
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- name: Fscore
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type: Fscore
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value: 74.396
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- name: Precision
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type: Precision
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value: 75.944
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- name: Recall
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type: Recall
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value: 74.033
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- name: IoU Buildings
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type: IoU
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value: 78.614
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- name: IoU Pervious surface
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type: IoU
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value: 52.657
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- name: IoU Impervious surface
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type: IoU
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value: 72.566
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- name: IoU Bare soil
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type: IoU
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value: 59.656
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- name: IoU Water
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type: IoU
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value: 87.604
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- name: IoU Coniferous
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type: IoU
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value: 62.255
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- name: IoU Deciduous
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type: IoU
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value: 71.762
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- name: IoU Brushwood
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type: IoU
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value: 31.270
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- name: IoU Vineyard
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type: IoU
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value: 76.454
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- name: IoU Herbaceous vegetation
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type: IoU
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value: 51.643
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- name: IoU Agricultural land
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type: IoU
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value: 57.639
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- name: IoU Plowed land
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type: IoU
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value: 43.452
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- name: IoU Swimming pool
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type: IoU
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value: 41.260
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- name: IoU Greenhouse
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type: IoU
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value: 63.222
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pipeline_tag: image-segmentation
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---
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#### Metrics
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With the evaluation protocol, the **FLAIR-INC_rgbi_15cl_resnet34-unet** have been evaluated to **OA= 76.259%** and **mIoU=60.718%**.
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The _snow_ class is discarded from the average metrics.
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The following table give the class-wise metrics :
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| Classes | IoU (%) | Fscore (%) | Precision (%) | Recall (%) |
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| ----------------------- | ----------|---------|---------|---------|
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| building | 78.614 | 88.027 | 88.596 | 87.465 |
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| pervious_surface | 52.657 | 68.988 | 70.900 | 67.176 |
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| impervious_surface | 72.566 | 84.102 | 84.002 | 84.203 |
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| bare_soil | 59.656 | 74.731 | 77.464 | 72.184 |
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| water | 87.604 | 93.393 | 92.367 | 94.442 |
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| coniferous | 62.255 | 76.737 | 77.340 | 76.144 |
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| deciduous | 71.762 | 83.560 | 81.669 | 85.540 |
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| brushwood | 31.270 | 47.643 | 59.508 | 39.723 |
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| vineyard | 76.454 | 86.656 | 85.320 | 88.034 |
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| herbaceous | 51.643 | 68.111 | 70.792 | 65.625 |
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| agricultural_land | 57.639 | 73.127 | 66.930 | 80.590 |
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| plowed_land | 43.452 | 60.581 | 58.839 | 62.430 |
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| swimming_pool | 41.260 | 58.417 | 79.497 | 46.173 |
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| snow | _0.000_ | _0.000_ | _0.000_ | _0.000_ |
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| greenhouse | 63.222 | 77.467 | 69.990 | 86.733 |
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| **average** | **60.718** | **74.396** | **75.944** | **74.033** |
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