fo_ops.py

import fiftyone as fo
from fiftyone import ViewField as F

dataset = fo.Dataset("imagenet")

# Using array slicing
range_view = dataset[2:5]

dataset.save_view("range_view", range_view)

# Sort by number of detection in "Detections" field "ground_truth"
sort_view = dataset.sort_by(F("ground_truth.detections").length(), reverse=True)

print(len(view.first().ground_truth.detections)) # 39
print(len(view.last().ground_truth.detections)) # 0

# Populate metadata on all samples
dataset.compute_metadata()

# Samples whose image is less than 48 KB
small_images_view = dataset.match(F("metadata.size_bytes") < 48 * 1024)