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16 dataset results for segmentation AND Chinese

LiTS17 (Liver Tumor Segmentation Challenge 2017)

LiTS17 is a liver tumor segmentation benchmark. The data and segmentations are provided by various clinical sites around the world.

38 PAPERS • 3 BENCHMARKS

LIS (low-light instance segmentation)

To reveal and systematically investigate the effectiveness of the proposed method in the real world, a real low-light image dataset for instance segmentation is necessary and urgently needed. Considering there is no suitable dataset, therefore, we collect and annotate a Low-light Instance Segmentation (LIS) dataset using a Canon EOS 5D Mark IV camera.

2 PAPERS • NO BENCHMARKS YET

DISRPT2021

DISRPT2021 (DISRPT2021 shared task on Discourse Unit Segmentation, Connective Detection and Discourse Relation Classification)

The DISRPT 2021 shared task, co-located with CODI 2021 at EMNLP, introduces the second iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the

3 PAPERS • NO BENCHMARKS YET

AVSpeech

…The segments are of varying length, between 3 and 10 seconds long, and in each clip the only visible face in the video and audible sound in the soundtrack belong to a single speaking person. In total, the dataset contains roughly 4700 hours of video segments with approximately 150,000 distinct speakers, spanning a wide variety of people, languages and face poses.

35 PAPERS • NO BENCHMARKS YET

LUNA16

The LUNA16 (LUng Nodule Analysis) dataset is a dataset for lung segmentation. It consists of 1,186 lung nodules annotated in 888 CT scans.

83 PAPERS • 1 BENCHMARK

MS COCO (Microsoft Common Objects in Context)

The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images. Annotations: The dataset has annotations for object detection: bounding boxes and per-instance segmentation masks with 80 object categories, captioning: natural language descriptions of the images (see Captions), keypoints detection: containing more than 200,000 images and 250,000 person instances labeled with keypoints (17 possible keypoints, such as left eye, nose, right hip, right ankle), stuff image segmentation – per-pixel segmentation masks with 91 stuff categories, such as grass, wall, sky (see MS COCO Stuff), panoptic: full scene segmentation, with 80 thing categories (such as person, bicycle, elephant) and

10,147 PAPERS • 92 BENCHMARKS

CVC-ClinicDB

CVC-ClinicDB is an open-access dataset of 612 images with a resolution of 384×288 from 31 colonoscopy sequences.It is used for medical image segmentation, in particular polyp detection in colonoscopy videos

38 PAPERS • 1 BENCHMARK

ISIC 2018 Task 1

…This Task 1 dataset is the challenge on lesion segmentation. It includes 2594 images.

21 PAPERS • 1 BENCHMARK

CH-SIMS

CH-SIMS is a Chinese single- and multimodal sentiment analysis dataset which contains 2,281 refined video segments in the wild with both multimodal and independent unimodal annotations.

13 PAPERS • 1 BENCHMARK

PointCloud-C

…Two sets: ModelNet-C for point cloud classification and ShapeNet-C for part segmentation. Real-world corruption sources, ranging from object-, senor-, and processing-levels.

21 PAPERS • 2 BENCHMARKS

CUGE

…It includes tasks like: word segmentation, part of speech tagging, reading comprehension and document retrieval.

4 PAPERS • NO BENCHMARKS YET

Hong Kong Cantonese corpus

…The text were word-segmented, annotated with part-of-speech tagging and Cantonese pronunciation using the romanisation scheme of Linguistic Society of Hong Kong (LSHK).

0 PAPER • NO BENCHMARKS YET

MIR-1K

…accompaniment and the singing voice recorded as left and right channels, respectively, Manual annotations of pitch contours in semitone, indices and types for unvoiced frames, lyrics, and vocal/non-vocal segments

20 PAPERS • NO BENCHMARKS YET

XImageNet-12 (XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation)

…With the following topics: Blur Background / Segmented Background / AI generated Background/ Bias of tools during annotation/ Color in Background / Dependent Factor in Background/ LatenSpace Distance of

5 PAPERS • 1 BENCHMARK

KITTI

…Despite its popularity, the dataset itself does not contain ground truth for semantic segmentation. However, various researchers have manually annotated parts of the dataset to fit their necessities.

3,219 PAPERS • 141 BENCHMARKS

aidatatang_200zh

…Segmented transcripts are also provided. The corpus aims to support researchers in speech recognition, machine translation, voiceprint recognition, and other speech-related fields.

0 PAPER • NO BENCHMARKS YET

Datasets

16 dataset results for segmentation AND Chinese