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Transfer Learning datasets
archive 2025-07-28
18 datasets carry the task tag "Transfer Learning" (the task itself: Transfer Learning), ordered by the archive's paper count. Page 1 of 1: 18 shown of 18. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Transfer Learning datasets 1–18 of 18
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories.
1,074 papers · 11 benchmarks
MFRC (Moral Foundations Reddit Corpus)
Moral Foundations Reddit Corpus (MFRC) is a collection of 16,123 Reddit comments that have been curated from 12 distinct subreddits, hand-annotated by at least three trained annotators for 8 categories of moral sentiment (i.e., Care,…
9 papers · 0 benchmarks
The Sims4Action Dataset: a videogame-based dataset for Synthetic→Real domain adaptation for human activity recognition.
5 papers · 0 benchmarks
SpaRTUN a dataset synthesized for transfer learning on spatial question answering (SQA) and spatial role labeling (SpRL).
5 papers · 0 benchmarks
As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, we present the BIOSCAN-5M Insect dataset to the machine learning community.
4 papers · 0 benchmarks
Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains.
4 papers · 3 benchmarks
This dataset contains Bangla handwritten numerals, basic characters and compound characters.
3 papers · 2 benchmarks
According to the WHO, World report on vision 2019, the number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be…
3 papers · 1 benchmark
By releasing this dataset, we aim at providing a new testbed for computer vision techniques using Deep Learning.
3 papers · 0 benchmarks
This is a dataset used to test deep learning-supported deep learning for fault diagnosis: - A digital twin model for a robot.
2 papers · 1 benchmark
M2QA (Multi-domain Multilingual Question Answering)
M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer.
2 papers · 0 benchmarks
The dataset contains a total of 253,070 records, with 18 features.
1 paper · 0 benchmarks
There was no predefined dataset of party symbols to be usedas a benchmark.
1 paper · 0 benchmarks
The full version of ReefSet used in Williams et al.
1 paper · 0 benchmarks
The dataset contains more than 100k code patch pairs extracted from open source projects on GitHub.
1 paper · 1 benchmark
Dataset contains images with apples infected by scab.
0 papers · 0 benchmarks
Dataset contains images with apple leaves infected by scab.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.