---
license: unknown
task_categories:
- object-detection
---

# Dataset Card

> **🚀 Uploaded using [hubify](https://github.com/benjamintli/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

## 📊 Dataset Details

- **🏷️ Number of classes**: 80
- **📁 Splits**: train, validation
- **🖼️ Format**: Images with bounding box annotations

## 🎯 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

## 💻 Usage

```python
from datasets import load_dataset

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

---

*Converted and uploaded with ❤️ using [hubify](https://github.com/benjamintli/hubify)*