NOTICE

LabML — third-party notices
Copyright (c) 2026 Dominic D'Apice

LabML's own source code is released under the MIT License; see LICENSE.

This file covers third-party material that LabML *redistributes* — model
weights committed to this repository or served from the deployed site, the
WebAssembly runtimes self-hosted beside them, and the demo datasets. Build
dependencies declared in package.json are not repeated here: they are not
redistributed by the site, and their licenses ship inside node_modules.

Everything listed below runs in the visitor's browser. Nothing here sends data
anywhere; see the /privacy page for what does and does not cross the network.

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1. Machine learning models committed to this repository
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### EfficientNet-Lite4, INT8 quantized
    File:      public/models/efficientnet-lite4-11-int8.onnx
    Source:    ONNX Model Zoo — https://github.com/onnx/models
    License:   Apache License 2.0
    Upstream:  EfficientNet-Lite (Google, TensorFlow), Apache License 2.0.
               The INT8 variant in the Model Zoo is quantized with Intel(R)
               Neural Compressor.
    Used for:  image classification over the 1,000 ImageNet-1k classes.

### YOLOX-Nano
    File:      public/models/yolox-nano.onnx
    Source:    YOLOX — https://github.com/Megvii-BaseDetection/YOLOX
    Copyright: Copyright (c) Megvii, Inc. and its affiliates.
    License:   Apache License 2.0
    Used for:  object detection over the 80 COCO classes.
    Note:      chosen over the stronger AGPL-licensed YOLO families precisely
               because Apache-2.0 permits this redistribution.

### UltraFace RFB-320
    File:      public/models/ultraface-RFB-320.onnx
    Source:    Ultra-Light-Fast-Generic-Face-Detector-1MB —
               https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB
    Copyright: Copyright (c) Linzaer
    License:   MIT License
    Used for:  face detection (location only — the model does not identify
               anyone, and LabML stores no face data).

The COCO and ImageNet-1k class-name lists bundled with the app (with French
translations added by this project) come from the respective model sources
above.

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2. Language model fetched at deploy time
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### Qwen3-0.6B-DQ (ONNX, q4f16)
    Served at: /llm/onnx-community/Qwen3-0.6B-DQ-ONNX/** (355 MB)
    Not committed to this repository. scripts/prepare-llm.mjs downloads the
    weights during the build and splits them into <= 24 MiB parts, which the
    browser reassembles; the generated manifest records the repository,
    revision and license alongside the parts.
    Source:    https://huggingface.co/onnx-community/Qwen3-0.6B-DQ-ONNX
               ONNX export of https://huggingface.co/Qwen/Qwen3-0.6B
    Copyright: Copyright (c) Alibaba Cloud (Qwen team)
    License:   Apache License 2.0
    Used for:  translating a question into a query. The model never computes
               an answer — every number comes from the deterministic engine.

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3. Runtimes self-hosted and served by the site
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These are npm dependencies whose binaries are copied into the build and served
from this origin, because the strict Content-Security-Policy forbids the CDN
defaults. They are redistributed, so they are listed here.

### ONNX Runtime Web
    Served at: /ort/ and /ort-llm/
    Copyright: Copyright (c) Microsoft Corporation
    License:   MIT License
    Home:      https://github.com/microsoft/onnxruntime

### DuckDB-Wasm (pinned to 1.28.0)
    Served at: /duckdb/
    Copyright: Copyright (c) DuckDB Labs / Stichting DuckDB Foundation
    License:   MIT License
    Home:      https://github.com/duckdb/duckdb-wasm
    Note:      the version is pinned by measurement, not by habit — from 1.29
               the binaries cross Cloudflare Pages' hard 25 MiB per-file limit.

### Transformers.js (@huggingface/transformers)
    Bundled into the application JavaScript.
    Copyright: Copyright (c) Hugging Face
    License:   Apache License 2.0
    Home:      https://github.com/huggingface/transformers.js

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4. Demo datasets (public/datasets/)
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### Redistributed from seaborn-data
    Files:     titanic.csv, iris.csv, mpg.csv
    Source:    https://github.com/mwaskom/seaborn-data
    Copyright: Copyright (c) Michael Waskom
    License:   BSD 3-Clause License (seaborn)
    Underlying sources:
      - Titanic passenger list — public domain; widely redistributed via the
        Vanderbilt Department of Biostatistics dataset archive.
      - Fisher's Iris (1936) — UCI Machine Learning Repository.
      - Auto MPG — UCI Machine Learning Repository.

### Synthetic, generated for this project
    Files:     cafe-sales.csv, cafe-sales-june.csv, cafe-products.csv,
               energy.csv, fraud.csv, reviews.csv
    Generated deterministically at seed 42 for demonstration purposes. They
    contain no real people, transactions, reviews or measurements. Covered by
    LabML's own MIT License.

### Derived
    File:      iris-field.csv — a held-out batch derived from iris.csv, used to
               demonstrate batch scoring. Same terms as its source.

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5. Test fixtures
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    File:      e2e/fixtures/astronaut.jpg
    Source:    NASA image GPN-2000-001177. NASA imagery is generally not
               subject to copyright in the United States; see
               https://www.nasa.gov/nasa-brand-center/images-and-media/
    Used for:  an end-to-end assertion that detection finds one person and one
               face on a real photograph.

    Directory: e2e/fixtures/vision/ — the V31 vision bench corpus.
    Every file was downloaded from Wikimedia Commons, downscaled to 640 px,
    and looked at before being kept: a corpus whose ground truth is a guess
    measures the guess. Licences are CC0, public domain, or CC BY only —
    never CC BY-SA, whose share-alike term would propagate into this MIT
    repository. Machine-readable details, including each file's Commons page,
    are in e2e/fixtures/vision/SOURCES.json.

    airliner.jpg
        Public domain · NASA
        https://commons.wikimedia.org/wiki/File:Aero_Spacelines_Pregnant_Guppy_in_flight_(MSFC-9801783).jpg
    cats_sofa.jpg
        CC0 · Roc0ast3r
        https://commons.wikimedia.org/wiki/File:Red_tabby_cat,_black_cat,_and_white_cat_sitting_on_a_chair.jpg
    goldfish.jpg
        CC0 · Jackson Kusack
        https://commons.wikimedia.org/wiki/File:Carassius_auratus_197778318.jpg
    group_people.jpg
        CC0 · Հակուլիկ
        https://commons.wikimedia.org/wiki/File:CEE_Youth_Group_Yerevan_Meeting_2025,_2nd_Day_28.jpg
    handwriting.jpg
        Public domain · Federal Bureau of Investigation
        https://commons.wikimedia.org/wiki/File:EFTA00003007-Beach-House_-_Handwritten_note_on_lined_paper_reads_Beach_House_placed_on_gravel_ground_next_to_a_hiking_boot.jpg
    pizza.jpg
        CC0 · Alex114721
        https://commons.wikimedia.org/wiki/File:Bar_Pizza_on_Thick_Plate.jpg
    school_bus.jpg
        CC BY 2.0 · Fahim Fadz.
        https://commons.wikimedia.org/wiki/File:School_bus_LAUSD_7616U.jpg
    soccer_ball.jpg
        CC0 · Petey21
        https://commons.wikimedia.org/wiki/File:Soccer_ball_on_ground.jpg
    sports_car.jpg
        CC BY 2.0 · David Hall from Stockholm, Sweden
        https://commons.wikimedia.org/wiki/File:Red_sports_car_at_Tokyo_University_(4480644169).jpg
    strawberry.jpg
        CC BY 4.0 · domdomegg
        https://commons.wikimedia.org/wiki/File:Strawberries_at_Ljubljana_Central_Market.JPG
    teapot.jpg
        CC0 · see the Commons page
        https://commons.wikimedia.org/wiki/File:Worcester_Porcelain_Factory_(British)_-_Teapot_-_2009.108.a_-_Cleveland_Museum_of_Art.jpg
    umbrella_group.jpg
        Public domain · U.S. Navy photo by Journalist 1st Class M. J. Darb
        https://commons.wikimedia.org/wiki/File:US_Navy_040611-N-0502D-083_Former_British_Prime_Minister_Margaret_Thatcher_is_shielded_from_the_rain_as_she_arrives_at_Andrews_Air_Force_Base,_Md.jpg
    wine_bottle.jpg
        CC0 · congerdesign
        https://commons.wikimedia.org/wiki/File:Bottle_and_glass_of_red_wine.jpg

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Full license texts are available at the upstream links above. If you believe
something is attributed incorrectly or is missing from this file, please open
an issue — it will be corrected.