Github https://github.com/albumentations-team/albumentations GitHub - albumentations-team/albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 -... github.co..

MS COCO Dataset 홈페이지에 오랜만에 들어가봤는데, 새로운 것을 발견해서 포스팅하기로 했다. FiftyOne 공식 문서 : https://voxel51.com/docs/fiftyone/# FiftyOne — FiftyOne 0.11.2 documentation Contents voxel51.com FiftyOne Github : https://github.com/voxel51/fiftyone GitHub - voxel51/fiftyone: The open-source tool for building high-quality datasets and computer vision models The open-source tool for building high-quality datasets and c..

학습 데이터가 부족할 때 가상 세계에서 얻어진 데이터를 이용해 볼 수 있다. 즉 언리얼 엔진을 이용하여 만들어진 GTA 게임에서 Synthetic DataSet 을 생성하여 데이터를 보완 해 볼 수 있다. (GTA 게임 안해봄...) 찾아보니 관련 연구가 여러가지 있었는데 보통 Teacher-Student 형태의 학습 방식을 사용한다. 즉 대규모 데이터인 Synthetic Dataset을 이용하여 Teacher Net 을 구성하여 Pre-training 하고, Real Dataset 을 이용하여 Student Net 을 구성함으로써 fine-tuning 하는 방식이다. Synthetic Dataset 에는 보통 자율 주행 환경 (Car, Person Segmentation, ..) 데이터가 많았으며, 안..

COCO Dataset : cocodataset.org/#home COCO - Common Objects in Context cocodataset.org COCO API : github.com/cocodataset/cocoapi cocodataset/cocoapi COCO API - Dataset @ http://cocodataset.org/ . Contribute to cocodataset/cocoapi development by creating an account on GitHub. github.com COCO API 사용 예제 : github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb cocodataset/cocoapi COCO ..

[Object Detection] [Object Classfication] [Image Segmentation] - ADE20K ADE20K dataset Database --> Full Dataset Full-sized images and segmentations Scene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. Training set All images are fully annotated groups.csail.mit.edu [Scene Recognition] - IndoorCVPR09..

Background Subtraction 시도할 때 사용할 좋은 데이터세트 같고, 데이터도 바로 다운로드 받을 수 있어서 접근성 좋다. This dataset is used in S.-H. Lee, J.-H. Kim, K. P. Choi, J.-Y. Sim, and C.-S. Kim, "Video saliency detection based on spatiotemporal feature learning," submitted to Proc. IEEE ICIP 2014. Video sequences have the resolution of 480 x 270 and consist of around 800 frames. The binary ground-truth maps are manually obtained ..