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COCO - Common Objects in Context
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COCO-Seg Dataset - Ultralytics YOLO Docs
Mar 17, 2025 · Explore the COCO-Seg dataset, an extension of COCO, with detailed segmentation annotations. Learn how to train YOLO models with COCO-Seg.
Datasets for deep learning - WIRED
The features are – 265,016 COCO and abstract scenes, three questions per image, ten true answers per question, three likely to be correct answers per question, automatic evaluation …
coco | TensorFlow Datasets
Jun 1, 2024 · COCO is a large-scale object detection, segmentation, and captioning dataset. Note: * Some images from the train and validation sets don't have annotations. * Coco 2014 …
COCO Dataset - Ultralytics YOLO Docs
Mar 17, 2025 · What is the COCO dataset and why is it important for computer vision? The COCO dataset (Common Objects in Context) is a large-scale dataset used for object detection, …
GitHub - nightrome/cocostuff: The official homepage of the COCO …
COCO-Stuff augments all 164K images of the popular COCO [2] dataset with pixel-level stuff annotations. These annotations can be used for scene understanding tasks like semantic …
COCO-Stuff 10k - Dataset Ninja
COCO-Stuff 10K Dataset: Common Objects in Context Stuff 10k v1.1 is a dataset for instance segmentation, semantic segmentation, and object detection tasks. It is applicable or relevant …
COCO - Common Objects in Context
What is COCO? COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features: Object segmentation; Recognition in context; Superpixel stuff …