Added toledo dataset

[u4gbot]

Comparison for brighton_beach_small (Differences)

Accuracy: 94.11% vs 95.76% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 94.06% | 94.12% | 99.93% | 0.97 | | ground | 96.07% | 98.65% | 97.36% | 0.98 | | | 2.01% | 4.53% | -2.58% | 0.01 | | | | | | | | | 14.64% | 99.56% | 14.65% | 0.26 | | building | 22.14% | 53.03% | 27.53% | 0.36 | | | 7.50% | -46.52% | 12.89% | 0.11 | | | | | | | | | 45.35% | 83.98% | 49.64% | 0.62 | | human_made_object | 36.89% | 37.05% | 98.85% | 0.54 | | | -8.46% | -46.94% | 49.21% | -0.09 | | | | | | | | | 66.95% | 95.07% | 69.36% | 0.80 | | low_vegetation | 23.78% | 29.40% | 55.45% | 0.38 | | | -43.17% | -65.67% | -13.91% | -0.42 | | | | | | |

Comparison for sheffield_park_small (Differences)

Accuracy: 97.85% vs 23.63% | Label | Accuracy | Recall | Precision | F1 | | -------------------- | ---------- | ---------- | ---------- | ---------- | | | 98.04% | 98.33% | 99.70% | 0.99 | | ground | 0.44% | 0.44% | 86.19% | 0.01 | | | -97.60% | -97.88% | -13.51% | -0.98 | | | | | | | | | 92.46% | 94.00% | 98.27% | 0.96 | | building | 51.70% | 70.70% | 65.80% | 0.68 | | | -40.76% | -23.29% | -32.46% | -0.28 | | | | | | | | | 34.76% | 94.35% | 35.50% | 0.52 | | human_made_object | 1.43% | 1.50% | 21.78% | 0.03 | | | -33.34% | -92.85% | -13.72% | -0.49 | | | | | | | | | 95.84% | 98.10% | 97.66% | 0.98 | | low_vegetation | 18.60% | 99.98% | 18.60% | 0.31 | | | -77.24% | 1.88% | -79.06% | -0.67 | | | | | | |

Average (2 datasets)

Accuracy: 95.98% vs 59.70%

Label	Accuracy	Recall	Precision	F1
	96.05%	96.22%	99.82%	0.98
ground	48.26%	49.54%	91.77%	0.49
	-47.79%	-46.68%	-8.04%	-0.49
	53.55%	96.78%	56.46%	0.61
building	36.92%	61.87%	46.67%	0.52
	-16.63%	-34.91%	-9.79%	-0.09
	40.06%	89.17%	42.57%	0.57
human_made_object	19.16%	19.28%	60.32%	0.28
	-20.90%	-69.89%	17.75%	-0.29
	81.40%	96.58%	83.51%	0.89
low_vegetation	21.19%	64.69%	37.02%	0.35
	-60.21%	-31.90%	-46.49%	-0.54