Table 7: Class wise Average Precision and Recall rate based on different methods.

Sl no.Image classColor-based retrievalTexture-based retrievalCIR with equal weightsCIR with ABC algorithm
Average precision (%)Average recall (%)Average precision (%)Average recall (%)Average precision (%)Average recall (%)Average precision (%)Average recall (%)

1Bus60.511.5440.338.3565.5012.3170.5012.99
2Dinosaur42.178.6387.0015.1280.5014.3160.6711.57
3Elephant45.509.2448.179.6855.5010.8357.1711.11
4Rose35.007.1688.0015.2884.6714.8560.0011.26
5Horse81.0014.4141.838.6177.5013.9683.1714.68
6Mountain43.508.7636.837.7546.339.2948.179.64

Average (%)49.619.9654.6910.8066.5012.5969.0011.88

Standard deviation0.1340.0260.2070.0350.1730.0220.1740.017