태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to encourage research on a wide variety of object categories and is commonly used for benchmarking computer vision models. It is an essential dataset for researchers and developers working on object detection, segmentation, and pose estimation tasks.
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators. Source: Guiding Long-Short Term Memory for Image Caption Generation Image Source: Dual-Path Convolutional Image-Text Embedding with Instance Loss
FlickrStyle10K is collected and built on Flickr30K image caption dataset. The original FlickrStyle10K dataset has 10,000 pairs of images and stylized captions including humorous and romantic styles. However, only 7,000 pairs from the official training set are now publicly accessible. The dataset can be downloaded via https://zhegan27.github.io/Papers/FlickrStyle_v0.9.zip
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.