
BLEND
AI-powered localization platform offering translation services, voice data, and transcription solutions.

Machine learning for mobile developers, bringing Google’s ML expertise to mobile apps.
ML Kit is a free mobile SDK that brings Google's machine learning expertise to Android and iOS apps. It offers on-device processing via Vision and Natural Language APIs, enabling real-time functionality and offline capabilities. Developers can use pre-built APIs for tasks like text recognition, image labeling, language identification, and utilize custom TensorFlow Lite models. The SDK allows developers to integrate GenAI capabilities directly into their Android applications using Gemini Nano. This includes features such as summarization, proofreading, rewriting, and image description. ML Kit's APIs are designed for ease of use, allowing for rapid implementation of powerful machine learning features into mobile applications.
ML Kit is a free mobile SDK that brings Google's machine learning expertise to Android and iOS apps.
Explore all tools that specialize in text recognition. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
Explore all tools that specialize in image labeling. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
Explore all tools that specialize in face detection. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
Explore all tools that specialize in object detection. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
Explore all tools that specialize in language identification. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
Explore all tools that specialize in translation. This domain focus ensures ML Kit delivers optimized results for this specific requirement.
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AI-powered localization platform offering translation services, voice data, and transcription solutions.
Robust Associations Multi-Pedestrian Tracking using motion and appearance information with camera-motion compensation.
Pluggable SOTA multi-object tracking modules for segmentation, object detection, and pose estimation models.

A simple, fast, and strong multi-object tracker that associates every detection box.

A large-scale street fashion dataset with polygon annotations for computer vision research.

A pure ConvNet model constructed entirely from standard ConvNet modules, designed for the 2020s.