# ailia-ai/ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Repository: https://github.com/ailia-ai/ailia-models
Canonical: https://ross.abutalabs.com/products/ailia-models
Language: Python
License: NOASSERTION
License Family: other
Topics: deep-learning, face-recognition, face-detection, object-detection, object-recognition, hand-detection, fashion-ai, image-classification, pose-estimation, image-segmentation, object-tracking, anomaly-detection, action-recognition, background-removal, audio-processing, crowd-counting, gan, neural-network, embeddings, llm
Last push: 2026-08-26T07:50:40+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2552, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2385, forks 365 (observed 2026-08-28T04:06:42.625797+00:00)

## What it is
A collection of 400+ pre-trained state-of-the-art AI models (object detection, pose estimation, speech recognition, LLMs, image generation, and more) for the ailia SDK, all runnable through a uniform Python CLI. Weights download automatically and every model follows the same simple invocation pattern.

## Use cases
- run object detection like yolox on images or video
- estimate human pose from a webcam feed
- remove image backgrounds with a pretrained model
- transcribe speech to text offline
- classify or segment images with state-of-the-art models
- run small LLMs locally for inference
- detect faces and recognize people in photos
- try anomaly detection on industrial images

## When to choose
- you want to quickly demo or benchmark many different pretrained deep learning models with one consistent CLI
- you need cross-platform inference including edge devices like Raspberry Pi, Jetson, iOS, and Android
- you want automatic weight downloads and zero-configuration model runs
- you are exploring computer vision, audio, or NLP model capabilities before integrating them

## When to avoid
- you need a production serving framework with REST/gRPC APIs rather than CLI scripts
- you require training or fine-tuning of models, since this repo focuses on inference only
- you are not using the ailia SDK runtime and prefer PyTorch, ONNX Runtime, or TensorFlow directly
- you need a permissive license guarantee, as the license is non-standard

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, image-processing, audio-processing, speech-recognition, llm-inference, cli, object-storage
- domain: deep-learning, machine-learning, computer-vision, artificial-intelligence, large-language-models, image-processing, developer-tools
- platform: python, windows, cli, cross-platform
- tags: pretrained-models, model-zoo, inference, ailia-sdk, yolo, pose-estimation, image-segmentation, face-recognition, background-removal, gan, audio, macos, linux, android, ios

## Member repositories
- ailia-ai/ailia-models (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:42.625797+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:34:37.837184+00:00, confidence not recorded.
  - readme: https://github.com/ailia-ai/ailia-models (fetched 2026-08-28T04:06:42.625797+00:00, sha 9009c30fbffa)
- Data as of 2026-08-30T08:39:29.467469+00:00.