Upload new.py

new.py

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+from datasets import load_dataset
+
+# Load your dataset (downloads files as needed)
+ds = load_dataset("Devenarya/Microsoft100", split="train")
+
+def image_and_segmentation_generator(dataset):
+    """
+    Generator that yields {'image': PIL.Image, 'segmentation': PIL.Image}
+    Assumes order: image, mask, image, mask, ...
+    """
+    images = [item['image'] for item in dataset]
+    for i in range(0, len(images), 2):
+        img = images[i].convert('RGB')
+        seg = images[i+1].convert('L')
+        yield {'image': img, 'segmentation': seg}
+
+# Example usage:
+gen = image_and_segmentation_generator(ds)
+for i, sample in enumerate(gen):
+    print(f"Sample {i}: image size={sample['image'].size}, segmentation size={sample['segmentation'].size}")