COCO2017 迷你版，包含图像检测/实例分割部分训练验证集，跟原版的类别标签同分布。

guanghan_nas_2

包含：<ul><li>5489 个训练图片</li><li>234 个验证图片</li></ul>标签分布和原版大致相同。

COCO2017 迷你版

Louis Official

Given an image, can you find all of the same landmarks in a dataset?

Google Landmark Retrieval 2021

Rate the effectiveness of argumentative writing elements from students grade 6-12

Kaggle 比赛：<a href="https://www.kaggle.com/competitions/feedback-prize-effectiveness/data">Feedback Prize - Predicting Effective Arguments</a>原版数据集

Feedback Prize - Predicting Effective Arguments

Identify whales and dolphins by unique characteristics

Kaggle 快乐鲸原版数据集，比赛地址：<a href="https://www.kaggle.com/c/happy-whale-and-dolphin">https://www.kaggle.com/c/happy-whale-and-dolphin</a>

Happywhale - Whale and Dolphin Identification

Segment multi-organ functional tissue units

Kaggle 比赛：<a href="https://www.kaggle.com/competitions/hubmap-organ-segmentation/data">https://www.kaggle.com/competitions/hubmap-organ-segmentation/data</a>原版数据集&nbsp;

HuBMAP + HPA - Hacking the Human Body

Find breast cancers in screening mammograms

yaan_nas_2

RSNA Screening Mammography Breast Cancer Detection

Predict the relationship between code and comments

Google AI4Code – Understand Code in Python Notebooks

Segment instances of microvascular structures from healthy human kidney tissue slides.

Kaggle 比赛原版数据：<a href="https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature">https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature</a>

HuBMAP - Hacking the Human Vasculature

Detect and classify traumatic abdominal injuries

RSNA 2023 Abdominal Trauma Detection

Identify glomeruli in human kidney tissue images

Kaggle 比赛 <a href="https://www.kaggle.com/c/hubmap-kidney-segmentation">https://www.kaggle.com/c/hubmap-kidney-segmentation</a>原版数据集

HuBMAP - Hacking the Kidney

Help us detect long-lasting gravitational-wave signals!


G2Net Detecting Continuous Gravitational Waves

Predict how DNA, RNA & protein measurements co-vary in single cells


Kaggle 比赛<a href="https://www.kaggle.com/competitions/open-problems-multimodal"> https://www.kaggle.com/competitions/open-problems-multimodal</a>&nbsp;原版数据集

Open Problems - Multimodal Single-Cell Integration

guanghan_nas_1

<h2>COCO 数据集（2017部分）</h2>从官方下载，未经任何处理，下载后全部解压，数据集中包含：<ul><li><a href="http://images.cocodataset.org/zips/train2017.zip">2017 Train images [118K/18GB]</a></li><li><a href="http://images.cocodataset.org/zips/val2017.zip">2017 Val images [5K/1GB]</a></li><li><a href="http://images.cocodataset.org/zips/test2017.zip">2017 Test images [41K/6GB]</a></li><li><a href="http://images.cocodataset.org/zips/unlabeled2017.zip">2017 Unlabeled images [123K/19GB]</a></li><li><a href="http://images.cocodataset.org/annotations/annotations_trainval2017.zip">Train/Val annotations [241MB]</a></li><li><a href="http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip">Stuff Train/Val annotations [1.1GB]</a></li><li><a href="http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip">Panoptic Train/Val annotations [821MB]</a></li><li><a href="http://images.cocodataset.org/annotations/image_info_test2017.zip">Testing Image info [1MB]</a></li><li><a href="http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip">Unlabeled Image info [4MB]</a></li></ul>官方数据集地址：<a href="https://cocodataset.org/">https://cocodataset.org/</a>&nbsp;

COCO 2017

cifar10

祖安的羊驼

datasets_9.29.zip

B1randa

img_data.zip

9a22ce0f-9c77-48f0-ba9b-5fa9de6dec69_2ec35b01-65b1-450b-b258-63c5f6aac09a/coronahack-chest-xraydataset.zip

COVID-19-Chest-Xray

Dave

5 000 annotated images with fine annotations

<h2>Cityscapes 数据集</h2>从官方下载（仅解压操作），数据集中包含：<ul><li><a href="https://www.cityscapes-dataset.com/file-handling/?packageID=1">gtFine_trainvaltest.zip (241MB)</a> <a href="https://www.cityscapes-dataset.com/md5-sum/?packageID=1">[md5]</a></li><li><a href="https://www.cityscapes-dataset.com/file-handling/?packageID=3">leftImg8bit_trainvaltest.zip (11GB)</a> <a href="https://www.cityscapes-dataset.com/md5-sum/?packageID=3">[md5]</a></li></ul>官方数据集地址：<a href="https://www.cityscapes-dataset.com/downloads/">https://www.cityscapes-dataset.com/downloads/</a><h2>&nbsp;</h2>&nbsp;&nbsp;

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