img2dataset
askai
img2dataset | askai | |
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13 | 1,748 | |
3,264 | 86 | |
- | - | |
7.1 | 10.0 | |
3 days ago | over 1 year ago | |
Python | TypeScript | |
MIT License | - |
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img2dataset
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OpenAI sued for web scraping from millions of internet users in order to train ChatGPT
Lmao, no it doesn't. As we can see, their downloader uses very obscure "no ai" headers (which can be disabled, so its useless). They only claim it respects "robots.txt" because the google crawler respects it, if a site changes their robots.txt rules they don't remove it from their dataset, that is not "respecting". https://github.com/rom1504/img2dataset
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Who kept the bots out? Stopping content being harvested by AI
The particular tool mentioned in the Vice article is Img2dataset, and right now, it doesn't pay attention to the robots.txt file, the normal mechanism you can use to dissuade well behaved bots from indexing your content. However, it does respect a new HTTP header directive, X-Robots-Tag: noai (and also noindex, though that's an existing and already well-known part of the robots.txt standard).
- AI used photographer’s photos for training, then slapped him with an invoice
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An AI Scraping Tool Is Overwhelming Websites with Traffic
The established norm is that scrapers have to download robots.txt and support the standard robots.txt features, notably including `Crawl-Delay` which sets a rate limit. This is the established standard by which websites tell scrapers what the rules are for scraping them.
This tool is scraping sites, it has webmasters reporting actual disruption, it doesn't have robots.txt support. When people complained (eg in https://github.com/rom1504/img2dataset/issues/48), the author's stance was basically "PRs welcome". It looks like a third party recently contributed a PR to make it respect robots.txt (https://github.com/rom1504/img2dataset/pull/302), albeit without `Crawl-Delay` support, which is not merged yet.
I have seen the same thing with other recent AI tools (eg https://github.com/m1guelpf/browser-agent/issues/2) and I think it's important to defend the robots.txt convention and nip this in the bud. If a bot doesn't make a reasonable effort to respect robots.txt and it causes disruption, it's a denial-of-service attack and should be treated as such. No excuses.
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Please make this tool “opt-in” by default
//First sentence unchanged
Websites can pass the http headers `X-Robots-Tag: noai`, `X-Robots-Tag: noindex` , `X-Robots-Tag: noimageai` and `X-Robots-Tag: noimageindex` By default img2dataset will ignore images with such headers.
//Then pull up the policy link first
To understand why image creators and artists may choose to specify such headers for their images, and choose to actively not consent to their images being collected, see [AI use impact](https://github.com/rom1504/img2dataset#ai-use-impact).
AI training would not be possible without the contribution of artists, and it is the recommendation of this tool's authors that you should respect their communicated wishes. However, if you have a legitimate reason to bypass these headers, to disable this behavior and download all images, you may pass --disallowed_header_directives '[]'
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- Img2dataset: Turns large sets of image URLs to an image dataset
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Stable Attribution
it's not remembering pixels. for it to do that, it would have to have the pixels stored somewhere. It does not.
The laion 5b dataset is in the neighborhood of 220TB. (1) That is how much storage space you need to remember the pixels.
The stable diffusion 1.5 checkpoint is 7gb. (2)
1 https://github.com/rom1504/img2dataset/blob/main/dataset_exa...
2 https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/m...
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Stability AI plans to let artists opt out of Stable Diffusion 3 image training
AI Bots do not respect these flags anyways
- Rule
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A Stable Diffusion prompt changes its output for the style of 1500 artists
You can download it here:
https://github.com/rom1504/img2dataset/blob/main/dataset_exa...
You probably would want to stop after getting the metadata, unless you have 240TB available for the images :)
More details and links to dataset explorers here: https://laion.ai/blog/laion-5b/
askai
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Building a Basic Forex Rate Assistant Using Agents for Amazon Bedrock
After wrestling with it for a bit and eventually giving up, I instead turned to ChatGPT to see if it is smart enough for the task. With my free plan, I asked ChatGPT 3.5 the following:
- Learn to ask for help
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How to build a custom GPT: Step-by-step tutorial
Go to chat.openai.com and log in
- Chat.openai.com no longer requires login
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Integrating Strapi with ChatGPT and Next.js
In this tutorial, we will learn how to use Strapi, ChatGPT, and Next.js to build an app that displays recipes using AI.
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GPT-4 Turbo with Vision is a step backwards for coding
Maybe I am bit dim, but how one can choose GPT-4 Turbo? Is this available from https://chat.openai.com/ ?
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AI Developer Tool Limitations In 2024
With the rise of ChatGPT, Bard Gemini, GitHub Copilot, Devin, and other AI tools1, developers started to fear that AI tooling would replace them. Even though their capabilities are indeed impressive, I don't fear our jobs will go away in 2024.
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Data-driven customer acquisition: Machine Learning applied to Customer Lifetime Value
To illustrate the core concepts of ML and regression analysis, we’ll start with a simple model. ChatGPT (the free version) creates something that works with this prompt:
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From 12th Final Project to an ATM Management System: Leveraging ChatGPT 4 for PDF Analysis
Fast forward to my college years. I found myself at IIIT Delhi, a prestigious tier 1 computer science engineering college. Around the same time, ChatGPT emerged, shaking the world more vigorously than COVID-19. As fate would have it, I gained temporary access to ChatGPT 4 which runs on GPT 4, and curiosity piqued my interest.
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📊 Obsidian: Nutrition
It is worth mentioning that for my use case, I do not require a high level of precision, so I obtain the values with an AI. I describe the recipe and portions to ChatGPT, and it provides me with a very good estimate of the nutritional information of the meal.
What are some alternatives?
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
google-images-download - Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
gpt-4chan-model
dalle-mini - DALL·E Mini - Generate images from a text prompt
openai-cookbook - Examples and guides for using the OpenAI API
docarray - Represent, send, store and search multimodal data
ai-cli - Get answers for CLI commands from ChatGPT right from your terminal
DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
KoboldAI-Client
stable-diffusion - A latent text-to-image diffusion model
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.