Skip to content

Commit ad1042c

Browse files
committed
Add ssd mobilenet v2 to model zoo.
PiperOrigin-RevId: 191369912
1 parent 28e531f commit ad1042c

File tree

2 files changed

+5
-2
lines changed

2 files changed

+5
-2
lines changed

research/object_detection/README.md

+1-1
Original file line numberDiff line numberDiff line change
@@ -95,7 +95,7 @@ reporting an issue.
9595
Supercharge your mobile phones with the next generation mobile object detector!
9696
We are adding support for MobileNet V2 with SSDLite presented in
9797
[MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381).
98-
Along with the model definition, we are also releasing a model checkpoint trained on COCO dataset.
98+
Along with the model definition, we are also releasing a model checkpoint trained on the COCO dataset.
9999

100100
<b>Thanks to contributors</b>: Menglong Zhu, Mark Sandler, Zhichao Lu, Vivek Rathod, Jonathan Huang
101101

research/object_detection/g3doc/detection_model_zoo.md

+4-1
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,9 @@ In the table below, we list each such pre-trained model including:
1919
aware that these timings depend highly on one's specific hardware
2020
configuration (these timings were performed using an Nvidia
2121
GeForce GTX TITAN X card) and should be treated more as relative timings in
22-
many cases.
22+
many cases. Also note that desktop GPU timing does not always reflect mobile
23+
run time. For example Mobilenet V2 is faster on mobile devices than Mobilenet
24+
V1, but is slightly slower on desktop GPU.
2325
* detector performance on subset of the COCO validation set or Open Images test split as measured by the dataset-specific mAP measure.
2426
Here, higher is better, and we only report bounding box mAP rounded to the
2527
nearest integer.
@@ -68,6 +70,7 @@ Some remarks on frozen inference graphs:
6870
| Model name | Speed (ms) | COCO mAP[^1] | Outputs |
6971
| ------------ | :--------------: | :--------------: | :-------------: |
7072
| [ssd_mobilenet_v1_coco](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz) | 30 | 21 | Boxes |
73+
| [ssd_mobilenet_v2_coco](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz) | 31 | 22 | Boxes |
7174
| [ssd_inception_v2_coco](http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2017_11_17.tar.gz) | 42 | 24 | Boxes |
7275
| [faster_rcnn_inception_v2_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz) | 58 | 28 | Boxes |
7376
| [faster_rcnn_resnet50_coco](http://download.tensorflow.org/models/object_detection/faster_rcnn_resnet50_coco_2018_01_28.tar.gz) | 89 | 30 | Boxes |

0 commit comments

Comments
 (0)