December 2018
Intermediate to advanced
764 pages
18h 18m
English
There are several models that are pre-trained and made available. All these models are trained on the COCO dataset and can be used for detecting the objects that are available in the COCO dataset such as humans and cars. These models are also useful for transfer learning for a new task such as traffic sign detection. A table of pre-trained models is shown here with relative speed and mAP on the COCO dataset. Various algorithms are trained with different CNN and are depicted in the names:
|
Model name |
Speed |
COCO mAP |
|
ssd_mobilenet_v1_coco |
fast |
21 |
|
ssd_inception_v2_coco |
fast |
24 |
|
rfcn_resnet101_coco |
medium |
30 |
|
faster_rcnn_resnet101_coco |
medium |
32 |
|
faster_rcnn_inception_resnet_v2_atrous_coco ... |
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