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This repository contains the trained YOLO baseline checkpoint for the wireless spectrum recognition course project.
Works best at 0.95 weight.
Works best at 0.75 weight.
Note: this is for Qwen Image Edit , not Qwen Image.
This model is a fine-tuned version of MCG-NJU/videomae-large-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 3.8264 Accuracy: 0.44
全金属狂潮/ フルメタル・パニック!/ Full Metal Panic!
Big thanks to @Shiiro0 for the help and guidance during the process! 💫
Hugging Face | GitHub | Launch Blog | Documentation
Originally posted to HuggingFace by sd-concepts-library m-geoo on Stable Diffusion This is the concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the Stable Conceptualizer...
This repository contains the final YOLO11n model trained for gun and knife object detection.
This repository contains the model predicting dense correspondences from foot images, as shown in our paper:
