Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
Update README.md
Browse files
README.md
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# Note: other available arguments include 'max_samples', etc
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dataset =
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load_from_hub("
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# Launch the App
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The synthetic samples were generated using the specialized [Synthetic GUI Samples Plugin for FiftyOne](https://github.com/harpreetsahota204/synthetic_gui_samples_plugins), which applies computer vision transformations while preserving annotation accuracy and spatial relationships.
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- **Curated by:** Harpreet Sahota
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- **Funded by:**
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- **Shared by:** Harpreet Sahota
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- **Language(s):** English (en)
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- **License:** Apache-2.0
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### Dataset Sources
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- **Original Repository:** [GUI Annotation Tool](https://github.com/
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- **COCO4GUI FiftyOne Integration:** [COCO4GUI FiftyOne](https://github.com/harpreetsahota204/coco4gui_fiftyone)
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- **Synthetic Generation Plugin:** [Synthetic GUI Samples Plugin](https://github.com/harpreetsahota204/synthetic_gui_samples_plugins)
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- **Generation Notebook:** [Using Synthetic GUI Samples Plugin via SDK](https://github.com/harpreetsahota204/visual_agents_workshop/blob/main/session_2/Using_Synthetic_GUI_Samples_Plugin_via_SDK.ipynb)
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## Loading into FiftyOne
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from fiftyone.utils.huggingface import load_from_hub
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# Load the augmented dataset directly from Hugging Face Hub
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dataset = load_from_hub("
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# Launch the FiftyOne App
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session = fo.launch_app(dataset)
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author={Sahota, Harpreet},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/
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note={Augmented using Synthetic GUI Samples Plugin for FiftyOne}
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}
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# Note: other available arguments include 'max_samples', etc
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dataset =
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load_from_hub("Voxel51/FiftyOne-GUI-Grounding-Train-with-Synthetic")
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# Launch the App
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The synthetic samples were generated using the specialized [Synthetic GUI Samples Plugin for FiftyOne](https://github.com/harpreetsahota204/synthetic_gui_samples_plugins), which applies computer vision transformations while preserving annotation accuracy and spatial relationships.
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- **Curated by:** Harpreet Sahota
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- **Funded by:** Voxel51
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- **Shared by:** Harpreet Sahota
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- **Language(s):** English (en)
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- **License:** Apache-2.0
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### Dataset Sources
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- **Original Repository:** [GUI Annotation Tool](https://github.com/harpreetsahota204/gui_annotation_tool)
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-
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- **COCO4GUI FiftyOne Integration:** [COCO4GUI FiftyOne](https://github.com/harpreetsahota204/coco4gui_fiftyone)
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-
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- **Synthetic Generation Plugin:** [Synthetic GUI Samples Plugin](https://github.com/harpreetsahota204/synthetic_gui_samples_plugins)
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-
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- **Generation Notebook:** [Using Synthetic GUI Samples Plugin via SDK](https://github.com/harpreetsahota204/visual_agents_workshop/blob/main/session_2/Using_Synthetic_GUI_Samples_Plugin_via_SDK.ipynb)
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## Loading into FiftyOne
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from fiftyone.utils.huggingface import load_from_hub
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# Load the augmented dataset directly from Hugging Face Hub
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dataset = load_from_hub("Voxel51/FiftyOne-GUI-Grounding-Train-with-Synthetic")
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# Launch the FiftyOne App
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session = fo.launch_app(dataset)
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author={Sahota, Harpreet},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/Voxel51/FiftyOne-GUI-Grounding-Train-with-Synthetic},
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note={Augmented using Synthetic GUI Samples Plugin for FiftyOne}
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}
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