The library supports a variety of state-of-the-art machine learning algorithms for image-related tasks. For image prediction, ImageAI offers four different algorithms trained on the ImageNet-1000 dataset: MobileNetV2, ResNet50, InceptionV3, and DenseNet121. This allows developers to choose the most suitable model for their specific needs, balancing between accuracy and computational requirements.
In the realm of object detection, ImageAI provides support for RetinaNet, YOLOv3, and TinyYOLOv3, all trained on the COCO dataset. These models enable developers to detect and locate multiple objects within images or video streams, with options to adjust for either state-of-the-art performance or real-time processing depending on the application requirements.
One of the key strengths of ImageAI is its ability to perform video object detection and analysis. The library offers convenient methods to apply object detection to video streams, currently supporting the state-of-the-art RetinaNet model for this purpose. This feature is particularly useful for applications such as surveillance systems, traffic monitoring, or any scenario requiring real-time object tracking in video feeds.
ImageAI also supports custom model training, allowing developers to train their own image classification models. This feature enables the creation of specialized models that can recognize and classify objects or scenes specific to a particular domain or application, extending the library's capabilities beyond pre-trained models.
The library is designed with simplicity in mind, providing abstracted and convenient implementations of complex computer vision technologies. This approach allows developers to integrate advanced AI capabilities into their applications without needing to delve deeply into the underlying algorithms or model architectures.
While ImageAI can run on systems with moderate CPU capacity, it is optimized for GPU acceleration, particularly NVIDIA GPUs. This optimization allows for high-performance, real-time computer vision operations, making it suitable for demanding applications that require quick processing of visual data.
Key Features of ImageAI:
ImageAI stands out as a versatile and powerful tool for developers looking to incorporate advanced computer vision capabilities into their projects, offering a balance between ease of use and cutting-edge performance.