BoT-SORT
Robust Associations Multi-Pedestrian Tracking using motion and appearance information with camera-motion compensation.

A suite of libraries, tools, and APIs for applying AI and ML techniques across multiple platforms and modalities.
A suite of libraries, tools, and APIs for applying AI and ML techniques across multiple platforms and modalities.
Google AI Gemini API & MediaPipe provides developers with a comprehensive toolkit to integrate AI and ML functionalities into applications across diverse platforms. MediaPipe offers pre-built solutions for tasks such as object detection, face landmark detection, and pose estimation, facilitating rapid prototyping and deployment. The Gemini API enables developers to leverage advanced AI models for content generation, multimodal understanding, and agentic workflows. Its architecture supports standard REST endpoints, streaming via Server-Sent Events (SSE), and real-time bidirectional communication using WebSockets. The APIs are accessed via language-specific SDKs (Python, JavaScript, Go, Java, C#) and REST. Model Maker & Studio enables custom models & evaluation.
A suite of libraries, tools, and APIs for applying AI and ML techniques across multiple platforms and modalities.
Quick visual proof for Google AI Gemini API & MediaPipe. Helps non-technical users understand the interface faster.
Google AI Gemini API & MediaPipe provides developers with a comprehensive toolkit to integrate AI and ML functionalities into applications across diverse platforms.
Explore all tools that specialize in object detection. This domain focus ensures Google AI Gemini API & MediaPipe delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
Connects Gemini models to external APIs and tools, enabling agentic workflows.
Generate and edit highly contextual images natively with Gemini 2.5 Flash Image.
Processes millions of tokens, deriving understanding from unstructured images, videos, and documents.
Constrains Gemini to respond with JSON, a structured data format suitable for automated processing.
Creates high-quality video content from text or image prompts.
1. Obtain an API key from Google AI Studio.
2. Choose a supported language (Python, JavaScript, Go, Java, C#, REST).
3. Install the appropriate SDK or use REST endpoints.
4. Authenticate your requests with the API key.
5. Construct requests using the API reference documentation.
6. Handle responses, including streaming responses for interactive applications.
7. Implement error handling and retry mechanisms.
All Set
Ready to go
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“Generally positive sentiment, with users praising its versatility and ease of use, but some mention the complexity of advanced features.”
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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.

Labeled subsets of the 80 million tiny images dataset for machine learning research.
AI-powered productivity for your everyday tasks.

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