Maritime Domain Awareness Q&A Session

Labeled real world data is often difficult to obtain and especially scarce in Navy-related domains. Currently, relevant annotated data that does exist is frequently limited to large or medium sized bounding boxes, making it difficult to train computer vision algorithms to recognize smaller objects of interest. In this work, we present a naval-specific video dataset of helicopter operations performed at sea. This dataset contains videos from multiple camera sensors to incorporate variations in lens distortions and camera noise. It consists of videos ranging from one to three minutes each recorded during Littoral Combat Ship (LCS) exercises off the California coast in the fall and winter. Special consideration was taken to emphasize small instances of helicopters relative to the field of view and therefore provides a more even ratio of small-, medium-, and large-sized bounding boxes for training more robust detectors and trackers. Following the conventions of the field, we define small, medium, and large objects as objects with bounding boxes sized: less than 32, 32-96, and greater than 96 pixels squared respectively. We benchmark these videos on object detection with special consideration given to small-object mean average precision.


Helicopter Video Dataset for Detecting and Tracking

**Moderator:** [Jeff Byers](https://www.underline.io/speakers/80146-jeff-byers)

**Speakers:** 

[Kyle Rice](https://www.underline.io/speakers/77567-kyle-rice)

[Tegan Emerson](https://www.underline.io/speakers/79700-tegan-emerson)

[Neil Bomberger](https://www.underline.io/speakers/80435-neil-bomberger)

[Lena Nans](https://www.underline.io/speakers/78913-lena-nans)


Maritime Domain Awareness

live discussion

Naval Information Warfare Center Pacific is partnering with AFCEA San Diego chapter to host the workshop.

The NAML workshop is an opportunity for researchers from Navy research and development centers and our partner organizations to exchange technical ideas and to come together as a team.

The goals of NAML are:

* To spread awareness of current machine learning research relevant to Naval applications

* To connect machine learning researchers with experts in military requirements

* To build and strengthen collaborations within the defense research community

**Watch this video to hear about the AFCEA purpose.**

<iframe width=1280 height=706 frameborder="0" scrolling="no" src="https://screencast-o-matic.com/player/creleVVcvRh?v=6&ff=1&title=0&controls=1" allowfullscreen="true"></iframe>

Lena Nans

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Maritime Domain Awareness Q&A Session

Helicopter Video Dataset for Detecting and Tracking

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