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+ # Bird Detection Dataset
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+
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+ This dataset contains images and corresponding labels for a binary classification task: identifying whether a given image contains a bird or not. It is designed for use in computer vision tasks such as image classification, detection, or transfer learning.
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+
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+ ## Dataset Structure
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+
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+ - **Total Images:** 4,410
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+ - 2,973 images containing birds (`bird`)
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+ - 1,437 images not containing birds (`no_bird`)
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+ - **Split:** 80% training (`train.csv`), 20% testing (`test.csv`)
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+
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+ ### Folder Layout
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+
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+ my-bird-dataset/
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+ ├── train.csv
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+ ├── test.csv
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+ ├── bird/ # Contains images named bird-0001.jpg, ..., bird-2973.jpg
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+ ├── no_bird/ # Contains images named no_bird-0001.jpg, ..., no_bird-1437.jpg
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+
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+ less
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+
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+ ## CSV Format
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+
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+ Each CSV (`train.csv` or `test.csv`) has the following columns:
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+
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+ | image | image_id | caption | label |
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+ |-----------------------|--------------|---------------------------------------|----------|
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+ | path/to/image.jpg | bird-0001 | This image contains a bird. | bird |
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+ | path/to/image.jpg | no_bird-0001 | This image does not contain a bird. | no_bird |
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+
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+ - `image`: Relative path to the image file
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+ - `image_id`: Unique image identifier
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+ - `caption`: Description of the image contents
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+ - `label`: Class label (`bird` or `no_bird`)
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+
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+ ## How to Use
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+
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+ You can load this dataset using the [datasets](https://huggingface.co/docs/datasets) library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("ravisri/BirdBinaryClassification")
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+ train = dataset['train']
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+ test = dataset['test']
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+ Or, load the CSV directly:
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+
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+ python
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+ train = load_dataset("ravisri/BirdBinaryClassification", data_files="train.csv")['train']
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+ License
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+ Include your license here (e.g., MIT, CC BY 4.0). If unknown, please specify.
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+
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+ Citation
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+ If you use this dataset in your work, please cite:
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+
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+ ini
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+ @dataset{your_name_2024_bird_detection,
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+ title = {BirdBinaryClassification},
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+ author = {ravisri},
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+ year = {2024},
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+ url = {https://huggingface.co/datasets/ravisri/BirdBinaryClassification},
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+ }
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+ Contact
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+ For questions, please open an issue or contact [ravisripallam@gmail.com].