Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
metadata
annotations_creators: []
language: en
size_categories:
- 10K<n<100K
task_categories:
- object-detection
task_ids: []
pretty_name: homework_dataset_train
tags:
- fiftyone
- image
- object-detection
dataset_summary: >
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 18287
samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("harpreetsahota/Coursera_homework_dataset_train")
# Launch the App
session = fo.launch_app(dataset)
```
Dataset Card for homework_dataset_train
This is a FiftyOne dataset with 18287 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("harpreetsahota/Coursera_homework_dataset_train")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details
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- Language(s) (NLP): en
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