FOMO is a deep learning object detection model that weighs less than 200 kilobytes. Skip to content. ... Moreover, these models are bad at detecting small objects and they need a lot of data.

And there are specialized techniques for working with specific types of data, such as fraud detection systems. That said, applying a neural autoencoder anomaly detection system to tabular data is ...

The object detection network is trained on the annotated data until it can find regions in images that correspond to each kind of object. Now let’s look at a few object-detection neural network ...

Back in 2022, we first saw STMicro launch the VL53L5CP ToF presence detection sensor for the PC market with features like ...

The object, a small meteorite measuring just 1.5 feet (0.45 meter) across, slammed into Earth's atmosphere on Jan. 8, 2014, after traveling through space at more than 130,000 mph (210,000 km/h ...