import fiftyone as fo from fiftyone.zoo import load_zoo_dataset def download_vehicle_images(): # Specify the classes of interest (e.g., vehicles, cars) classes_of_interest = ["Car", "Truck", "Motorcycle", "Bus", "Van"] # Specify the maximum number of samples you want to download max_samples = 100 # You can adjust this number as needed # Load the Open Images V7 dataset using FiftyOne dataset = load_zoo_dataset( "open-images-v7", split="validation", label_types=["detections", "segmentations", "points"], classes=classes_of_interest, max_samples=max_samples, ) # Save the downloaded dataset dataset.export(export_dir="/path/to/save/vehicle/images") if __name__ == "__main__": # Execute the download function download_vehicle_images()
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