Datasets Image2D COCO

[junxnone]

Reference

• COCO dataset
• Microsoft COCO: Common Objects in Context - 2015
• COCO Annotation Data format
• SSD Object Detection with opencv/training_toolbox_tensorflow
• Detection Evaluation & Metrics
• MS COCO数据集目标检测评估（Detection Evaluation）
• COCO数据库
• labelme2coco.py - labelme

Brief

Microsoft COCO Datasets

• Detection
• Keypoints
• Segmentation
  • Stuff - Semantic Segmentation
  • Panoptic
• Captions

Download

curl https://sdk.cloud.google.com | bash
mkdir train2017
gsutil -m rsync gs://images.cocodataset.org/train2017 train2017
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip

COCO Challenges Tasks

Tasks	Labels
Object Detection
Stuff Segmentation
Panoptic Segmentation
Keypoint Detection
Captioning

Annotation format

Detection

annotation{
       "id" : int,
       "image_id" : int,
       "category_id" : int,
       "segmentation" : RLE or [polygon],
       "area" : float,
       "bbox" : [x,y,width,height],
       "iscrowd" : 0 or 1,
}

categories[{
       "id" : int,
       "name" : str, 
       "supercategory" : str,
}]

iscrowd=1 是否是 semantic segmentation

[junxnone]

junxnone/tech-io#30