What is Coco dataset?
Table of Contents
What is Coco dataset?
The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images. It contains 164K images split into training (83K), validation (41K) and test (41K) sets.
What is the Coco format?
The “COCO format” is a specific JSON structure dictating how labels and metadata are saved for an image dataset.
How do you make a Coco dataset?
Here is an overview of how you can make your own COCO dataset for instance segmentation.
- Download labelme, run the application and annotate polygons on your images.
- Run my script to convert the labelme annotation files to COCO dataset JSON file.
What is Yolo Coco dataset?
yolo-coco/ : The YOLOv3 object detector pre-trained (on the COCO dataset) model files. These were trained by the Darknet team. images/ : This folder contains four static images which we’ll perform object detection on for testing and evaluation purposes.
What objects are in Coco dataset?
What Object Categories / Labels Are In COCO Dataset?
| ID | Object (Paper) | Super Category |
|---|---|---|
| 1 | person | person |
| 2 | bicycle | vehicle |
| 3 | car | vehicle |
| 4 | motorcycle | vehicle |
How do I download a Coco dataset?
To download the COCO dataset you can visit the download link on the COCO dataset page. Additionally, here is a python script to download the object detection portion of the COCO dataset to your local drive.
How do I train with Coco dataset?
Steps
- 1) COCO format.
- 2) Creating a Dataset class for your data.
- 3) Adding dataset paths.
- 4) Evaluation file.
- 5) Training script.
- 6) Changing the hyper-parameters.
- 7) Finetuning the model.
- Now all it is ready for trainnig!!
What is Coco in machine learning?
Common Objects in Context (COCO) is a database that aims to enable future research for object detection, instance segmentation, image captioning, and person keypoints localization.
What is Coco Python?
COCO API – http://cocodataset.org/ COCO is a large image dataset designed for object detection, segmentation, person keypoints detection, stuff segmentation, and caption generation. This package provides Matlab, Python, and Lua APIs that assists in loading, parsing, and visualizing the annotations in COCO.