miniImageNet Few-Shot Classification (5-way 5-shot).

Canonical few-shot image classification benchmark. 100 classes drawn from ImageNet (64 train / 16 val / 20 test). Evaluation episodes sample 5 novel classes with 5 support examples each and query images to classify.

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accuracy · higher is better

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• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies