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Table 7 Residential scene classification accuracy across studies using deep CNNs transfer learning models

From: Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery

References Scene class Dataset # Classes Accuracy (%) Relative scene accuracy ranking
Hu et al. [43] Sparse Residential UC Merced 21 85 19 of 21*
Med. Residential UC Merced 21 85 19 of 21*
Dense Residential UC Merced 21 90 17 of 21**
Han et al. [42] Sparse Residential UC Merced 21 95 12 of 21***
Med. Residential UC Merced 21 90 19 of 21****
Dense Residential UC Merced 21 85 21 of 21
Residential SIRI-WHU 12 93 10 of 12*****
Residential WHU-RS 19 88 19 of 19
Chew et al. (in this study) Residential Nigeria 2 94.5 NA
Residential Guatemala 2 96.4 NA
  1. *Medium and Sparse residential tied for 19th/20th place
  2. **Tied with “intersection” for 17th/18th place
  3. ***Tied with seven other classes for 12th–18th place
  4. ****Tied with “storage tank” for 19th/20th place
  5. *****Tied with “idle land” for 10th/11th place