coco2017-5k / README.md
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license: unknown
task_categories:
  - object-detection

Dataset Card

๐Ÿš€ Uploaded using hubify - Convert object detection datasets to HuggingFace format

This dataset contains object detection annotations converted to HuggingFace image dataset format. All credits go to the original dataset creators

๐Ÿ“Š Dataset Details

  • ๐Ÿท๏ธ Number of classes: 80
  • ๐Ÿ“ Splits: train, validation
  • ๐Ÿ–ผ๏ธ Format: Images with bounding box annotations

๐ŸŽฏ Classes

The dataset contains the following 80 classes:

  • person
  • bicycle
  • car
  • motorcycle
  • airplane
  • bus
  • train
  • truck
  • boat
  • traffic light
  • fire hydrant
  • stop sign
  • parking meter
  • bench
  • bird
  • cat
  • dog
  • horse
  • sheep
  • cow
  • elephant
  • bear
  • zebra
  • giraffe
  • backpack
  • umbrella
  • handbag
  • tie
  • suitcase
  • frisbee
  • skis
  • snowboard
  • sports ball
  • kite
  • baseball bat
  • baseball glove
  • skateboard
  • surfboard
  • tennis racket
  • bottle
  • wine glass
  • cup
  • fork
  • knife
  • spoon
  • bowl
  • banana
  • apple
  • sandwich
  • orange
  • broccoli
  • carrot
  • hot dog
  • pizza
  • donut
  • cake
  • chair
  • couch
  • potted plant
  • bed
  • dining table
  • toilet
  • tv
  • laptop
  • mouse
  • remote
  • keyboard
  • cell phone
  • microwave
  • oven
  • toaster
  • sink
  • refrigerator
  • book
  • clock
  • vase
  • scissors
  • teddy bear
  • hair drier
  • toothbrush

๐Ÿ’ป Usage

from datasets import load_dataset

dataset = load_dataset("benjamintli/coco-2017")

Converted and uploaded with โค๏ธ using hubify