{"url":"/dataset/rein-and-repl","name":"ReINs and RePLs: Challenging, small datasets for quick validations of designing deep neural networks for image classification","full_name":null,"description_markdown":"* Efficiently rescaling a large dataset by adapting statistical computation to validation results of a pre-trained network.\r\n* A unified collection of the sensitive images and those in their confused classes would form a challenging tiny set.\r\n* An application for rescaling two large datasets: ImageNet and Places365 to obtain their rescaled subsets.\r\n* Experimental results for image classification have validated the raised challenge of the rescaled subsets. Verifying models on these helps researchers save the computational cost and the necessary time  for the early network drafts.\r\n* It can be conducted that a network draft will obtain a good rate on large datasets if it is good on the rescaled subsets, correspondingly.","description_withheld":null,"homepage":"https://github.com/nttbdrk25/ImageNetPlaces365","introduced_date":"2024-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/rescaling-large-datasets-based-on-validation","title":"Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained Network","first_author":"Thanh Tuan NGUYEN","url":null},"license":{"name":"According to ImageNet's and Places365's","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["ReINs and RePLs: Challenging, small datasets for quick validations of designing deep neural networks for image classification"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}