| license: apache-2.0 | |
| tags: | |
| - travel | |
| - africa | |
| Predicts Africa landmarks from a set of 2214 classes. Output is logits. | |
| Trained on data from: https://github.com/cvdfoundation/google-landmark | |
| Classification head built on top of EfficentnetV2-M-21k feature extractor for [CrossPrism](https://apps.apple.com/us/app/crossprism-photo-labeler/id1638429352?mt=12) on MacOS. | |
| Compressed using 8-bit quantization. |