2022_11_25_mult_aggregations.py

# will count the number of samples in a dataset
sample_count = fo.Count()

# will retrieve the distinct labels in the `ground_truth` field
distinct_labels = fo.Distinct("ground_truth.detections.label")

# will compute a histogram of the `uniqueness` field
histogram_values = fo.HistogramValues("uniqueness")

# efficiently compute all three results
aggs = [sample_count, distinct_labels, histogram_values]
count, labels, hist = dataset.aggregate(aggs)