Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
harpreetsahota
commited on
Commit
•
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Parent(s):
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Update README.md
Browse files
README.md
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@@ -81,7 +81,7 @@ import fiftyone.utils.huggingface as fouh
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = fouh.load_from_hub("
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# Launch the App
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session = fo.launch_app(dataset)
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The dataset here only contains detections, some of which have been artificially perturbed and altered to demonstrate data centric AI techniques and methodologies for the course.
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This dataset has the following labels:
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** https://www.lvisdataset.org/
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- **Paper:** https://arxiv.org/abs/1908.03195
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```python
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<Detection: {
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'id': '
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'attributes': {},
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'tags': [],
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'label': '
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'bounding_box': [
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0.
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],
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'mask': None,
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'confidence': None,
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### Curation Rationale
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The selected labels for this dataset is
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### Source Data
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## Citation
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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```bibtex
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = fouh.load_from_hub("Voxel51/Coursera_homework_dataset_train")
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# Launch the App
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session = fo.launch_app(dataset)
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The dataset here only contains detections, some of which have been artificially perturbed and altered to demonstrate data centric AI techniques and methodologies for the course.
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This dataset has the following labels:
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- 'bolt'
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- 'knob'
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- 'tag'
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- 'button'
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- 'bottle_cap'
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- 'belt'
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- 'strap'
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- 'necktie'
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- 'shirt'
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- 'sweater'
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- 'streetlight'
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- 'pole'
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- 'reflector'
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- 'headlight'
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- 'taillight'
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- 'traffic_light'
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- 'rearview_mirror'
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### Dataset Sources
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- **Repository:** https://www.lvisdataset.org/
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- **Paper:** https://arxiv.org/abs/1908.03195
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```python
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<Detection: {
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'id': '66a2f24cce2f9d11d98d3a21',
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'attributes': {},
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'tags': [],
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'label': 'shirt',
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'bounding_box': [
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0.25414,
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0.35845238095238097,
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0.041960000000000004,
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0.051011904761904765,
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],
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'mask': None,
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'confidence': None,
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### Curation Rationale
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The selected labels for this dataset is because these objects can be confusing to a model. Thus, making them a great choice for demonstrating data centric AI techniques.
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### Source Data
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## Citation
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**BibTeX:**
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```bibtex
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