将COCO注释(CVAT)转换为YOLO-seg(实例分段)和YOLO-obb(定向边界盒检测)的注释
coco-format-annotations 开源项目推荐(9 个)
coco-format-annotations 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 9
GitHub 共 9 个仓库,已全部展示Fast alternative to FiftyOne for creating a subset of the COCO dataset.
A useful script for converting voc format annotations(generated by LabelImg or Labelme) to coco format annotations
Pytorch implementation of homework 2 for VRDL course in 2021 Fall semester at NYCU.
Convert annotations from VIA to COCO.
This Python script generates a synthetic dataset of traffic sign images in COCO format, intended for training and testing object detection models. The dataset includes various traffic sign overlays placed on diverse background images, offering a wide range of scenarios to enhance model robustness.
mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.
COCO formatındaki etiketli veri için doğrulama ve alan analiz scripti (Python)
Inference pipeline using a pretrained YOLOX model for anime character detection and automated COCO-style dataset annotation for Vision Transformer fine-tuning.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 9 个项目;原始页面见 https://github.com/topics/coco-format-annotations。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 9 个项目累计 416 Star,覆盖 2 种主要语言,数据更新于 2026-11-13。
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