Datasets:
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image
imagewidth (px) 640
640
| bounding_boxes
sequencelengths 1
10
| classes
sequencelengths 1
10
|
|---|---|---|
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End of preview. Expand
in Dataset Viewer.
FLIR IR YOLO expansion
Images from repository FLIR_IR_Expansion
This expansion pack is prepared specifically for training a YOU-ONLY-LOOK-ONCE(YOLO) network. All frames are labeled in the YOLO format. If you want to use this expansion pack for other purposes, images are still available for download but requires manual labeling
Download all dataset
If you want to download all dataset you must do
from datasets import load_dataset
dataset = load_dataset("SAE-AAI/FLIR_IR_Expansion")
If you only want to download train or validation split you must do
from datasets import load_dataset
train_dataset = load_dataset("SAE-AAI/FLIR_IR_Expansion", split='train')
validation_dataset = load_dataset("SAE-AAI/FLIR_IR_Expansion", split='validation')
Download by stream
If you want to donwload dataset by stream, you must do
from datasets import load_dataset
iterable_dataset = load_dataset("SAE-AAI/FLIR_IR_Expansion", streaming=True)
now you can get every sample by
for sample in iterable_dataset['train']:
print(sample['bounding_boxes'], sample['classes'])
example['sample'].show()
break
or with
sample = next(iter(iterable_dataset['train']))
print(sample['bounding_boxes'], sample['classes'])
sample['image']
If you want to get a batch of samples you ca do
BS = 4
example_batch = list(iterable_dataset['train'].take(BS))
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