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YOLOv9, a new real-time object detection model, has been released with features like programmable gradient information (PGI) and the Generalized Efficient Layer Aggregation Network (GELAN) to enhance accuracy. It outperforms existing models on datasets such as MS COCO. Users are already working on custom training tutorials and fine-tuning the model for improved performance.
YOLOv9 by Transformers.js with Gradio-Lite⚡️ Try out real-time object detection with @Gradio UI, running entirely on your web browser! https://t.co/gyKgsINAOG https://t.co/ONhQ2ytqI8 https://t.co/aNuJJcVvvK
SDXL Lightning Demo is at the top of Hugging Face Trending Spaces 🥳 🛠️ @peter9863 - built the model 🫡 @yvrjsharma @radamar - helped with the demo https://t.co/L1pKxkrR5m
YOLOv9 arrived on @huggingface Hub! 🤩 The model checkpoints: https://t.co/bY9rXlZU6S Try the demo (@kadirnar_ai): https://t.co/t4RL3LA98s Find demo for YOLOv9 ported to JS (@xenovacom): https://t.co/OdS3qGkSLI https://t.co/NLuUb1kR3T
