Base models included with IBM Maximo Visual Inspection
You can use a base model to help train your model. You can choose your own Faster R-CNN or GoogLeNet model, or select one of the models that is included with IBM® Maximo® Visual Inspection.
| Type | Number of images | Size | Source |
|---|---|---|---|
| Action | 9532 | 310M | Stanford 40 actions |
| Flower | 8189 | 348M | Visual Geometry Group |
| Food | 1503 | 14.6M | Proprietary data set |
| General | ImageNet dataset | -- | ILSVRC12 |
| Landscape | 1472 | 22.2M | Proprietary data set |
| Scene | 108754 | 38G | SUN database |
| Vehicle | 16185 | 1.9G | ai.stanford.edu |