Github nsfw dataset
WebMar 30, 2024 · Nudity/ NSFW detection is one such use-case where there are no practically useful open datasets available. In the first part of this two part project, I collect data for … WebMar 13, 2024 · This produced an instruction-following dataset with 52K examples obtained at a much lower cost (less than $500). In a preliminary study, we also find our 52K generated data to be much more diverse than the data released by self-instruct .
Github nsfw dataset
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WebNov 25, 2024 · I use the stable-diffusion-v1-5 model to render the images using the DDIM Sampler, 30 Steps and 512x512 resolution. For the prompt, you want to use the class you intent to train. When training a style I use "artwork style" as the prompt. You can have a look at my reg images here, or use them for your own training: Reg Images by Nitrosocke The ... WebOct 10, 2024 · Method 1: Use Hugging Face Datasets Loader You can use the Hugging Face Datasets library to easily load prompts and images from DiffusionDB. We pre-defined 16 DiffusionDB subsets (configurations) based on the number of instances. You can see all subsets in the Dataset Preview.
WebGithub Dataset A Representative User-centric Dataset of 10 Million GitHub Developers Github Dataset Data Card Code (0) Discussion (0) About Dataset This dataset can be found at this link. If you download and extract it, its size will be 50 GB! To make it easier to use, I've uploaded it here. Explanation of fields in user entry: Webcd REPO_ROOT_DIR bash tools/make_nsfw_dataset.sh The image of each subclass will be split into three part according to the ratio training : validation : test = 0.75 : 0.1 : 0.15. …
WebCollection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier - GitHub - hudawei996/nsfw_data_scrapper: Collection of scripts to aggregate image data for the p... Skip to contentToggle navigation Sign up Product Actions Automate any workflow Packages Host and manage packages WebNov 24, 2024 · A text-guided inpainting model, finetuned from SD 2.0-base. We follow the original repository and provide basic inference scripts to sample from the models. The original Stable Diffusion model was created in a collaboration with CompVis and RunwayML and builds upon the work: High-Resolution Image Synthesis with Latent Diffusion Models.
WebFeb 18, 2024 · Paris-based data scientist Evgeny Bazarov (GitHub name “EBazarov”) has now open-sourced a new content review project, … deathly choir dndWebMar 20, 2024 · Get lots and lots of data Fortunately, a really cool set of scraping scripts were released for a NSFW dataset. The code is simple already comes with labeled data categories. This means that just … deathly artWebnsfw_probabilities: NSFW probability of each frame. For any frame_interval > 1, all frames without a prediction will be assumed to have the NSFW probability of the previous predicted frame. Preprocessing details Options. This implementation provides the following preprocessing options. deathly bagWebAug 30, 2024 · There’s definitely NSFW material in the image dataset, but surprisingly little of it. Only 222 images got a “1” unsafe probability score, indicating 100% confidence that it’s unsafe, about 0.002% of the total images — and those are definitely porn. deathly catch showWebNSFW Detection Machine Learning Model Trained on 60+ Gigs of data to identify: drawings - safe for work drawings (including anime) hentai - hentai and pornographic drawings neutral - safe for work neutral images porn - pornographic images, sexual acts sexy - sexually explicit images, not pornography This model powers NSFW JS - More Info deathly ambitionsWebSimulacra Aesthetic Captions is a dataset of over 238000 synthetic images generated with AI models such as CompVis latent GLIDE and Stable Diffusion from over forty thousand user submitted prompts. The images are rated on their aesthetic value from 1 to 10 by users to create caption, image, and rating triplets. deathly blue eyeWebJul 30, 2024 · Download the dataset. Here. Unzip the tarball and place in the root directory of the repo. Tell all your friends you have more dick pics on your computer than them. Run The Image Preprocessor. Train the custom Mask R-CNN model using; Image Processor/Dick_Pic_Mask-RCNN_Trainer.ipynb. Align the dataset and resize using; … deathly chill