Results for “augmented-reality”

Upscale and enhance image and video resolution using AI

Upscale and enhance image and video resolution using AI

Upscale and enhance image and video resolution using AI

Upscales and enhances image and video resolution using AI.

Copy-Paste Augmentation for Instance Segmentation

Upscale and enhance images using Real-ESRGAN, Thera, FLUX Upscaler, and Topaz via the inference.sh CLI.

VR/AR development principles. Comfort, interaction, performance requirements.

Discover and install complementary skills from the inference.sh registry to expand AI agent capabilities.

Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more.

AutoAugment: Learning Augmentation Strategies from Data

Aumenta a resolução e nitidez de imagens via API Freepik/Magnific quando uma chave está configurada, ou orienta o processo manual e alternativas locais quando não há chave, sempre exigindo confirmação antes de gastar crédito.

Embeds target and source image parquets, then mines nearest-neighbour source images for augmentation in VCN AOI workflows.

Trains and fine-tunes vision models for object detection, image classification, and segmentation using Hugging Face Transformers on cloud GPUs, with automatic dataset validation and Hub persistence.

Detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using the Resemble AI platform.

Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.

Resolves, generates, and operates on media assets (audio, images, icons, logos, voice, color grades, LUTs) for HyperFrames projects, using a local cache and the HeyGen CLI for free-usage catalog search and TTS.

Analyze images using Azure AI Vision SDK: generate captions, tags, detect objects, extract text (OCR), detect people, and suggest smart crops.

Guides VR/AR development with platform selection, comfort principles, performance targets, interaction patterns, and spatial design best practices.

Mosaic Augmentation for Detection and Segmentation

Build and debug Retrieval-Augmented Generation pipelines — chunking, embedding, retrieval, reranking

DeepEval — LLM evaluation framework, RAG metrics, hallucination detection, red-teaming, CI/CD integration

Discovers, installs, and manages AI agent skills from agentskill.sh, including searching, installing mid-session, scanning for security issues, and providing feedback.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Audit an existing app's design system and motion, then apply a coherent, performant, reduced-motion-safe pass. Use when "motion pass", "animate the app", or "add micro-interactions across the app". One new isolated animation → design-motion.

Edits real video footage through a structured pipeline: transcribe and plan with an AI agent, cut with FFmpeg, compose with Remotion, generate voiceover and music via ElevenLabs and fal.ai, then polish in Descript or CapCut.

Rule (adak-rule)

Augments nearest-neighbour search with graph Laplacian features to retrieve items based on both semantic similarity and structural role.

Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems by improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.

Optimizes content for AI search systems like AI Overviews, ChatGPT, and Perplexity by analyzing citability, structure, authority, and technical accessibility, and producing a GEO analysis report.

COCO: Microsoft COCO: Common Objects in Context

Generate rights-cleared product photography variants for paid ads from an authorized source image and brand profile.

Build complex, interactive animations in React/Next.js including drag-and-drop, gestures, text animations, SVG path drawing, custom hooks, and imperative sequences.

Expert guidance for architecting, developing, and operating SurrealDB 3, covering SurrealQL, multi-model data modeling, vector search, security, deployment, performance tuning, SDK integration, and ecosystem tools.

Build multi-step AI content creation pipelines combining image, video, audio, and text using the inference.sh CLI.

For analysis/task/review agents using a Professional Skill on models, RAG, agents, evaluation, or safety; not for work without AI decision impact.