Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
General:  tutorial Task:  semantic segmentation object detection Data Domain:  computer vision Framework:  ultralytics yolo Integration:  dvc git mlflow
Dean b2c3a06409
Upload notebook after initial training
2 years ago
658808d6bc
remove DS_Store files
2 years ago
2235731fd0
Add COCO_1K Dataset
2 years ago
b2c3a06409
Upload notebook after initial training
2 years ago
94d9627fee
Add Readme
2 years ago
b2c3a06409
Upload notebook after initial training
2 years ago
658808d6bc
remove DS_Store files
2 years ago
b2c3a06409
Upload notebook after initial training
2 years ago
b2c3a06409
Upload notebook after initial training
2 years ago
Storage Buckets
Data Pipeline
Legend
DVC Managed File
Git Managed File
Metric
Stage File
External File

README.md

You have to be logged in to leave a comment. Sign In

COCO 1K

A Dataset of ~1000 images (1000 training and 99 validation) from the COCO-2017 dataset. Created for the purposes of fast dataset iteration and prototyping.

To use with the DagsHub client:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/Dean/COCO_1K")

fs.listdir("data")
Tip!

Press p or to see the previous file or, n or to see the next file

About

1000 Images from COCO dataset with polygon segmentation

Collaborators 4

Comments

Loading...