Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
Update README.md
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README.md
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- fiftyone
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- image
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- image-classification
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 12392 samples.
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## Installation
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To navigate it easily install FiftyOne:
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```bash
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pip install -U fiftyone
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```
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## Usage
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```python
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import fiftyone as fo
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from fiftyone.utils.huggingface import load_from_hub
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# Load the dataset
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# Note: other available arguments include ''max_samples'', etc
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dataset = load_from_hub("andandandand/jaguars")
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# Launch the App
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session = fo.launch_app(dataset)
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```
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---
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# Dataset Card for jaguars
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 12392 samples.
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## Installation
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If you haven't already, install FiftyOne:
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```bash
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pip install -U fiftyone
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```
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## Usage
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```python
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import fiftyone as fo
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from fiftyone.utils.huggingface import load_from_hub
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = load_from_hub("andandandand/jaguars")
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# Launch the App
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session = fo.launch_app(dataset)
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```
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## Dataset Details
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howpublished = {\url{https://huggingface.co/datasets/jaguaridentification/jaguars}}
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}
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```
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- fiftyone
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- image
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- image-classification
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license: cc-by-nc-4.0
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---
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# Dataset Card for jaguars
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 12392 samples.
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## Dataset Details
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howpublished = {\url{https://huggingface.co/datasets/jaguaridentification/jaguars}}
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}
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## Installation
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If you haven't already, install FiftyOne:
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```bash
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pip install -U fiftyone
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```
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## Usage
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```python
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import fiftyone as fo
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from fiftyone.utils.huggingface import load_from_hub
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = load_from_hub("andandandand/jaguars")
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# Launch the App
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session = fo.launch_app(dataset)
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```
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```
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