Add toledo dataset

[HeDo88TH]

First contribution!

[HeDo88TH]

Test comment

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 96.17% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 19.54% | 41.52% | 26.96% | 0.33 | | | 33.48% | -58.29% | 84.04% | 28.01% | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 33.01% | 41.60% | 61.54% | 0.50 | | | -50.69% | -56.25% | -11.28% | -38.11% | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 40.96% | 41.06% | 99.39% | 0.58 | | | -9.68% | -51.11% | 100.23% | -6.87% | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.46% | 98.74% | 97.66% | 0.98 | | | 2.55% | 4.91% | -2.27% | 1.30% | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 30.29% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 51.58% | 56.93% | 84.58% | 0.68 | | | -44.22% | -39.43% | -13.93% | -29.17% | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.81% | 99.95% | 19.81% | 0.33 | | | -79.34% | 1.89% | -79.72% | -66.22% | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 3.44% | 3.76% | 28.78% | 0.07 | | | -90.10% | -96.01% | -18.94% | -87.10% | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 11.10% | 11.30% | 86.39% | 0.20 | | | -88.67% | -88.50% | -13.36% | -79.81% | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 63.23%

Label	Accuracy	Recall	Precision	F1
	53.55%	96.78%	56.46%	0.61
building	35.56%	49.23%	55.77%	0.50
	-5.37%	-48.86%	35.05%	-0.58%
	81.40%	96.58%	83.51%	0.89
low_vegetation	26.41%	70.77%	40.67%	0.41
	-65.01%	-27.18%	-45.50%	-52.17%
	40.06%	89.17%	42.57%	0.57
human_made_object	22.20%	22.41%	64.09%	0.32
	-49.89%	-73.56%	40.64%	-46.99%
	96.05%	96.22%	99.82%	0.98
ground	53.78%	55.02%	92.03%	0.59
	-43.06%	-41.80%	-7.81%	-39.26%

[pierotofy]

The human_made_object class should be 64, but during export to LAZ 1.2 it was truncated to 0 ? That might partially explain the low performance numbers.

Never mind, I just opened the file with a broken version of cloudcompare. Duh.

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 95.35% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 21.24% | 67.19% | 23.70% | 0.35 | | | 6.60% | -32.36% | 9.05% | 0.09 | | | | | | | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 95.58% | 97.49% | 98.00% | 0.98 | | | 1.52% | 3.37% | -1.94% | 0.01 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 34.40% | 48.58% | 54.09% | 0.51 | | | -32.55% | -46.49% | -15.27% | -0.29 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 37.91% | 37.91% | 100.00% | 0.55 | | | -7.44% | -46.08% | 50.36% | -0.07 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 28.69% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 52.07% | 61.41% | 77.38% | 0.68 | | | -40.39% | -32.58% | -20.88% | -0.28 | | | | | | | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 8.48% | 8.57% | 89.54% | 0.16 | | | -89.55% | -89.76% | -10.17% | -0.83 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 19.46% | 99.98% | 19.46% | 0.33 | | | -76.38% | 1.89% | -78.20% | -0.65 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 0.33% | 0.33% | 23.97% | 0.01 | | | -34.44% | -94.02% | -11.53% | -0.51 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 62.02%

Label	Accuracy	Recall	Precision	F1
	53.55%	96.78%	56.46%	0.61
building	36.65%	64.30%	50.54%	0.52
	-16.90%	-32.47%	-5.92%	-0.09
	96.05%	96.22%	99.82%	0.98
ground	52.03%	53.03%	93.77%	0.57
	-44.02%	-43.19%	-6.05%	-0.41
	81.40%	96.58%	83.51%	0.89
low_vegetation	26.93%	74.28%	36.77%	0.42
	-54.47%	-22.30%	-46.74%	-0.47
	40.06%	89.17%	42.57%	0.57
human_made_object	19.12%	19.12%	61.99%	0.28
	-20.94%	-70.05%	19.42%	-0.29

[HeDo88TH]

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