Ango Hub
Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI.
Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.
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Picsart Enterprise
AI-Powered Image & Video Editing for Seamless Integration.
Enhance your visual content workflows with Picsart Creative APIs, a robust suite of AI-driven tools for developers, product owners, and entrepreneurs. Easily integrate advanced image and video processing capabilities into your projects.
What We Offer:
Programmable Image APIs: AI-powered background removal, upscaling, enhancements, filters, and effects.
GenAI APIs: Text-to-Image generation, Avatar creation, inpainting, and outpainting.
Programmable Video APIs: Edit, upscale, and optimize videos with AI.
Format Conversions: Seamlessly convert images for optimal performance.
Specialized Tools: AI effects, pattern generation, and image compression.
Accessible to Everyone:
Integrate via API or automation platforms like Zapier, Make.com, and more. Use plugins for Figma, Sketch, GIMP, and CLI tools—no coding required.
Why Picsart?
Easy setup, extensive documentation, and continuous feature updates.
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DreamActor-M1
DreamActor-M1 is a state-of-the-art diffusion transformer framework designed to generate realistic human animations from a single image. It offers fine-grained control over facial expressions and body movements, ensuring multi-scale adaptability from portraits to full-body views. It maintains temporal coherence in long videos, even for areas not visible in reference images. Its hybrid motion guidance combines implicit facial representations, 3D head spheres, and 3D body skeletons to achieve detailed animation control. Complementary appearance guidance uses multi-frame references to maintain consistency in unseen regions. A progressive three-stage training strategy optimizes different aspects of animation: starting with body skeletons and head spheres, adding facial representations, and finally fine-tuning all parameters.
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