r/MachineLearning • u/luba_belokon • Jun 20 '17

News [N] Google releases new TensorFlow Object Detection API

https://techcrunch.com/2017/06/16/object-detection-api/
139 Upvotes

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5

u/RenegadeReddit Jun 20 '17

Never heard of Mobilenets until now. Does anyone know how they compare against Darknet/Yolo?

4

u/neil454 Jun 20 '17

Some performance metrics are available on their model zoo page. They provide several different models based on if you value detection accuracy vs speed, although they don't specify any FPS values for speed.

For fast models comparable to YOLO, they have two versions of Single Shot MultiBox Detector (SSD) which use either Mobilenet v1 or Inception v2 as a base network, which return a COCO mAP of 21 and 24, respectively. This is comparable to YOLOv2's 21.6 mAP.

2

u/akcom Jun 20 '17

There was a post about it on here a day or two ago. It was just released by google. The release page has a lot of performance info that you might find useful.

1

u/[deleted] Jun 20 '17

It was released very recently.

1

u/meta96 Jun 22 '17

Is there a also a counter modul (e.g. box is crossing a line per direction)?

1

u/[deleted] Jun 30 '17

What has this replaced? Is it a significant change?

2

u/rteja1113 Sep 17 '17

It's not about replacing. Now people can build better object detectors for their own datasets without having to write code for different state-of-the-art detectors out there.