notesum.ai

Published at November 27

cs.CV

Released Date: November 27, 2024

Authors: Muhammad Ahmad¹, Manuel Mazzara¹, Salvatore Distefano¹

Aff.: ¹Not specified

Class	Per-Class Accuracy for Training Samples
Class	75	223	368	510	650	787
Healthy grass	86.4217	95.5271	96.3258	97.2843	98.0830	98.4025
Stressed grass	97.4481	99.5215	98.8835	97.9266	99.0430	99.5215
Synthetic grass	93.1034	95.1149	91.0919	93.1034	98.2758	100
Trees	95.0160	97.2668	94.3729	97.1061	99.1961	97.9099
Soil	100	99.8389	100	100	100	100
Water	49.3827	83.9506	90.7407	93.8271	95.6790	98.1481
Residential	57.8864	73.1861	90.2208	93.8485	94.4794	94.4794
Commercial	62.3794	61.2540	83.9228	94.0514	95.1768	95.9807
Road	60.8626	90.5750	96.3258	96.1661	96.4856	97.9233
Highway	93.3224	83.3876	88.9250	98.5342	98.8599	100
Railway	35.5987	95.1456	92.8802	96.4401	98.8673	99.0291
Parking Lot 1	53.8087	75.8508	85.0891	91.0858	91.0858	97.5688
Parking Lot 2	1.7094	23.0769	46.5811	66.6666	68.8034	77.7777
Tennis Court	85.0467	91.1214	100	98.1308	99.5327	100
Running Track	93.3333	100	100	100	100	97.8787
Train (s)	50.52	44.63	44.98	44.34	44.96	47.39
Test (s)	4.43	3.45	3.45	3.35	3.44	3.44
Flops	110336
Param	836559