Review Article
Deep Learning for Retail Product Recognition: Challenges and Techniques
Table 6
Recognition performance comparison of approaches based on deep learning on benchmark datasets.
| Publications | GroZi-120 [89] | GroZi-3.2k [13] | Precision (%) | Recall (%) | #product categories | Precision (%) | Recall (%) | #product categories |
| [58] | 45.20 | 52.70 | 120 | 73.10 | 73.60 | 20 | [20] | — | — | — | 73.50 | 82.68 | 181 | [148] | — | — | — | 90.47 | 90.26 | 181 | [71] | — | — | — | Accuracy: 85.30 | 181 | [74] | 49.05 | 29.37 | 120 | 65.83 | 45.52 | 857 | 92.19 | 87.89 | 181 | [21] | 49.80 | — | 120 | 52.16 | — | 27 |
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