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Twitterpyimagesearch/valorant-object-detection-paligemma dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterumairhassan02/paligemma-valorant-object-detection-transformed dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## Overview
Paligemma Notebook is a dataset for object detection tasks - it contains Annotations annotations for 623 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Twitterdavidxu123/brain-tumor-object-detection-paligemma dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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## Overview
Pali_Gemma is a dataset for object detection tasks - it contains Disease annotations for 5,636 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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Here is a small data set of grape clusters and trunks. This is a subset of my Larger dataset: https://www.kaggle.com/datasets/nicolaasregnier/pinotnoirgrapes
The data set is annotated in YOLO format. Please see attached notebooks for easy converting to other formats.
For a full description on how the data was collected please read the description in the above mentioned dataset.
This dataset's purpose is to localize where the grape clusters, more so fruit region, of each individual vine is, in relation to the trunk using different object detection models.
The object detetion models used are a Yolo model (https://github.com/ultralytics/ultralytics)and a Paligemma model (https://ai.google.dev/gemma/docs/paligemma)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
PaliGemma_data_v3 is a dataset for object detection tasks - it contains Insulator IBZh annotations for 1,422 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
PaliGemma_data_v2 is a dataset for object detection tasks - it contains Insulator XoUI annotations for 1,536 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Yolov10m Inference Retrain is a dataset for object detection tasks - it contains Good Bad_Chip annotations for 389 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Twittermajingazzz/construction-safety-object-detection-paligemma dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dataset Card for roboflow-bccd-paligemma
Dataset Summary
This dataset, roboflow-bccd-paligemma, is a modified version of the BCCD (Blood Cell Count and Detection) dataset. It contains blood cell images annotated for object detection tasks, specifically targeting three types of blood cells:
Platelets Red Blood Cells (RBC) White Blood Cells (WBC)
Key features of the dataset:
Total of 364 annotated images across train, validation, and test splits Bounding box annotations… See the full description on the dataset page: https://huggingface.co/datasets/dwb2023/roboflow-bccd-paligemma.
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Twitterpyimagesearch/valorant-object-detection-paligemma dataset hosted on Hugging Face and contributed by the HF Datasets community