Generative AI models can be prompted with just a few words to insert offensive or discriminatory text messages into images.

Abstract: Text detection and recognition in natural scene imagery pose formidable challenges due to variations in orientation, distortions, intricate backgrounds, and inconsistent illumination.

Abstract: With the growing sophistication of large language models, distinguishing between human-written and machinegenerated text has become increasingly challenging. Deepfake text—content that ...

Note: uvx pywho is not recommended — it runs inside uv's ephemeral sandbox, so the output reflects that temporary environment instead of your actual project. Always install pywho into the environment ...

face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...

How can you tell if the paragraph in front of you was penned by a person burning the midnight oil or by a language model quietly spinning words in the cloud? The question is no longer academic.