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--- |
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license: unknown |
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task_categories: |
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- object-detection |
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--- |
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# Dataset Card |
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> **🚀 Uploaded using [hubify](https://github.com/benjamintli/hubify)** - Convert object detection datasets to HuggingFace format |
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This dataset contains object detection annotations converted to HuggingFace image dataset format. All credits go to the original dataset creators |
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## 📊 Dataset Details |
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- **🏷️ Number of classes**: 80 |
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- **📁 Splits**: train, validation |
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- **🖼️ Format**: Images with bounding box annotations |
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## 🎯 Classes |
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The dataset contains the following 80 classes: |
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- person |
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- bicycle |
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- car |
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- motorcycle |
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- airplane |
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- bus |
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- train |
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- truck |
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- boat |
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- traffic light |
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- fire hydrant |
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- stop sign |
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- parking meter |
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- bench |
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- bird |
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- cat |
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- dog |
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- horse |
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- sheep |
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- cow |
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- elephant |
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- bear |
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- zebra |
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- giraffe |
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- backpack |
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- umbrella |
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- handbag |
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- tie |
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- suitcase |
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- frisbee |
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- skis |
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- snowboard |
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- sports ball |
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- kite |
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- baseball bat |
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- baseball glove |
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- skateboard |
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- surfboard |
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- tennis racket |
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- bottle |
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- wine glass |
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- cup |
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- fork |
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- knife |
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- spoon |
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- bowl |
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- banana |
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- apple |
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- sandwich |
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- orange |
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- broccoli |
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- carrot |
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- hot dog |
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- pizza |
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- donut |
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- cake |
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- chair |
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- couch |
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- potted plant |
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- bed |
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- dining table |
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- toilet |
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- tv |
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- laptop |
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- mouse |
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- remote |
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- keyboard |
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- cell phone |
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- microwave |
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- oven |
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- toaster |
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- sink |
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- refrigerator |
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- book |
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- clock |
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- vase |
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- scissors |
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- teddy bear |
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- hair drier |
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- toothbrush |
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## 💻 Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("benjamintli/coco-2017") |
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``` |
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--- |
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*Converted and uploaded with ❤️ using [hubify](https://github.com/benjamintli/hubify)* |
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