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Computer Vision Object Detection with San Francisco Bay ACM

A how-to talk on getting started in computer vision and data annotation with the the San Francisco Bay Association for Computing Machinery group

Watch the Talk & Find Resources Below:

Workshop Recording:

Build your own object detection model from start to finish. This workshop includes an overview of computer vision applications, step-by-step instructions on data annotation, and model training with your own dataset.

Sense Data Annotation with AI-Powered Labeling Tools:

Sign up for Sense Data Annotation to get started for free.

Sense Data Annotation AI-Powered Labeling Features

Detectron2 Google Colab Notebook:

In this workshop, we use the Detectron2 library from Facebook AI. It’s a great way to get started building models for object detection, instance segmentation or pose estimation! You can find links to my notebook used during the talk, and the official resources below:

Trained Detectron2 Object Detection Model Detecting Geese

Stay Connected:

If you build something with what you’ve learned we’d love to see it!



Plainsight streamlines vision AI for enterprises with new ways to analyze, share and benefit from valuable visual information. Plainsight helps the world’s most innovative customers realize the potential of their data through smart, easy to use, effective vision solutions.

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