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--- |
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language: |
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- en |
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- multilingual |
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license: mit |
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tags: |
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- YOLO |
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- ONNX |
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- onnxruntime |
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datasets: |
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- proj-airi/games-balatro-2024-ui-detection |
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base_model: Ultralytics/YOLO11 |
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--- |
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<p align="center"> |
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<img src="./docs/cover.png"> |
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</p> |
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## Balatro (2024, game) YOLO UI detection |
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> This project is part of (and also associate to) the [Project AIRI](https://github.com/moeru-ai/airi), we aim to build a LLM-driven VTuber like [Neuro-sama](https://www.youtube.com/@Neurosama) (subscribe if you didn't!) if you are interested in, please do give it a try on [live demo](https://airi.moeru.ai). |
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> |
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> Who are we? |
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> |
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> We are a group of currently non-funded talented people made up with computer scientists, experts in multi-modal fields, designers, product managers, and popular open source contributors who loves the goal of where we are heading now. |
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| Basic | Multiple card types | Description | Crowded cards | |
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| ------------------------- | ------------------------- | ------------------------- | ------------------------- | |
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## Training |
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We trained this model on our own datasets labelled with n<1k images using Label Studio with YOLOv11n as the base model, it's |
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available on HuggingFace as well: [proj-airi/games-balatro-2024-ui-detection](https://huggingface.co/datasets/proj-airi/games-balatro-2024-ui-detection). |
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The training was performed on a single NVIDIA 4080Super GPU with 16GB VRAM, the loss optimized well and converged within set 2000 epochs. |
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## Citation |
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If you find our works useful for your research, please consider citing: |
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```bibtex |
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@misc{proj_airi_game_ai_models_balatro_2024_yolo_ui_detection_2025, |
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title = {Balatro (2024, game) YOLO UI detection}, |
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author = {Project AIRI Team, Neko Ayaka, Makito, Rainbow Bird}, |
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howpublished = {\url{https://huggingface.co/proj-airi/games-balatro-2024-yolo-ui-detection}}, |
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year = {2025} |
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} |
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``` |
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## License |
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This model is licensed under the MIT. |
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