Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

Detection of “indeterministic” defect types such as cracks and/or scratches is quite challenging since such defects may have a variety of shapes, locations and severity. Deep learning, a subfield of ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

The ability to locally train image classification models with the ML.NET CLI "While previously ML.NET offered the ability to consume pre-trained TensorFlow and ONNX models for object detection via the ...

Embedded Automotive Platforms: Evaluating Power And Performance Of Image Classification And Objects Detection CNNs October 16th, 2023 - By: Technical Paper Link A technical paper titled ...

Object detection takes image classification one step further and provides the bounding box where detected objects are located. Segmentation comes in two flavors: semantic segmentation and instance ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...