Added toledo dataset

[HeDo88TH]

As title says!

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 95.76% vs 96.43% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 22.14% | 53.03% | 27.53% | 0.36 | | building | 31.16% | 55.50% | 41.55% | 0.48 | | | 9.03% | 2.46% | 14.01% | 0.11 | | | | | | | | | 96.07% | 98.65% | 97.36% | 0.98 | | ground | 96.56% | 98.94% | 97.57% | 0.98 | | | 0.49% | 0.30% | 0.21% | 0.00 | | | | | | | | | 23.78% | 29.40% | 55.45% | 0.38 | | low_vegetation | 33.56% | 40.70% | 65.67% | 0.50 | | | 9.78% | 11.31% | 10.23% | 0.12 | | | | | | | | | 36.89% | 37.05% | 98.85% | 0.54 | | human_made_object | 38.85% | 40.27% | 91.68% | 0.56 | | | 1.96% | 3.22% | -7.17% | 0.02 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 23.63% vs 22.50% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 51.70% | 70.70% | 65.80% | 0.68 | | building | 22.04% | 26.60% | 56.24% | 0.36 | | | -29.67% | -44.11% | -9.56% | -0.32 | | | | | | | | | 0.44% | 0.44% | 86.19% | 0.01 | | ground | 4.54% | 4.57% | 87.80% | 0.09 | | | 4.10% | 4.13% | 1.61% | 0.08 | | | | | | | | | 18.60% | 99.98% | 18.60% | 0.31 | | low_vegetation | 18.16% | 99.98% | 18.16% | 0.31 | | | -0.45% | 0.00% | -0.45% | -0.01 | | | | | | | | | 1.43% | 1.50% | 21.78% | 0.03 | | human_made_object | 1.50% | 1.64% | 14.71% | 0.03 | | | 0.08% | 0.14% | -7.07% | 0.00 | | | | | | |

Average (2 datasets)

Accuracy: 59.70% vs 59.47%

Label	Accuracy	Recall	Precision	F1
	36.92%	61.87%	46.67%	0.52
building	26.60%	41.05%	48.90%	0.42
	-10.32%	-20.82%	2.23%	-0.10
	48.26%	49.54%	91.77%	0.49
ground	50.55%	51.75%	92.69%	0.53
	2.29%	2.21%	0.91%	0.04
	21.19%	64.69%	37.02%	0.35
low_vegetation	25.86%	70.34%	41.91%	0.40
	4.67%	5.66%	4.89%	0.06
	19.16%	19.28%	60.32%	0.28
human_made_object	20.18%	20.96%	53.19%	0.29
	1.02%	1.68%	-7.12%	0.01

[HeDo88TH]

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