OpenDroneMap / ODMSemantic3D

An open photogrammetry dataset of classified 3D point clouds for automated semantic segmentation. CC BY-SA 4.0
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Added Aukerman point cloud #37

Closed HeDo88TH closed 1 year ago

HeDo88TH commented 1 year ago

As title says!

u4gbot commented 1 year ago
brighton_beach_small Overall accuracy from 95.76% to 98.01% | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 23.78% | 29.40% | 55.45% | 0.38 | | After | 63.60% | 70.04% | 87.36% | 0.78 | | Diff | 39.82% | 40.65% | 31.91% | 0.39 | | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 96.07% | 98.65% | 97.36% | 0.98 | | After | 98.31% | 99.39% | 98.91% | 0.99 | | Diff | 2.24% | 0.74% | 1.56% | 0.01 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 36.89% | 37.05% | 98.85% | 0.54 | | After | 34.65% | 43.46% | 63.08% | 0.51 | | Diff | -2.24% | 6.41% | -35.77% | -0.02 | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 22.14% | 53.03% | 27.53% | 0.36 | | After | 52.60% | 88.05% | 56.65% | 0.69 | | Diff | 30.47% | 35.01% | 29.11% | 0.33 |
sheffield_park_small Overall accuracy from 23.63% to 89.67% | low_vegetation | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 18.60% | 99.98% | 18.60% | 0.31 | | After | 63.53% | 99.14% | 63.88% | 0.78 | | Diff | 44.93% | -0.84% | 45.28% | 0.46 | | ground | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 0.44% | 0.44% | 86.19% | 0.01 | | After | 91.08% | 91.61% | 99.36% | 0.95 | | Diff | 90.64% | 91.17% | 13.17% | 0.94 | | human_made_object | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 1.43% | 1.50% | 21.78% | 0.03 | | After | 0.00% | 0.00% | 0.00% | N/A | | Diff | -1.43% | -1.50% | -21.78% | N/A | | building | Accuracy | Recall | Precision | F1 | | -------------------- | -------- | -------- | --------- | -------- | | Before | 51.70% | 70.70% | 65.80% | 0.68 | | After | 64.63% | 65.61% | 97.74% | 0.79 | | Diff | 12.93% | -5.09% | 31.94% | 0.10 |

Average (2 datasets)

Overall accuracy from 59.70% to 93.84%

low_vegetation Accuracy Recall Precision F1
Before 21.19% 64.69% 37.02% 0.35
After 63.56% 84.59% 75.62% 0.78
Diff 42.37% 19.90% 38.60% 0.43
ground Accuracy Recall Precision F1
Before 48.26% 49.54% 91.77% 0.49
After 94.70% 95.50% 99.14% 0.97
Diff 46.44% 45.96% 7.37% 0.48
human_made_object Accuracy Recall Precision F1
Before 19.16% 19.28% 60.32% 0.28
After 17.32% 21.73% 31.54% 0.26
Diff -1.83% 2.46% -28.78% -0.03
building Accuracy Recall Precision F1
Before 36.92% 61.87% 46.67% 0.52
After 58.62% 76.83% 77.20% 0.74
Diff 21.70% 14.96% 30.53% 0.22