Update README.md

README.md

@@ -1,120 +1,114 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: objects
-    struct:
-    - name: bbox
-      list:
-        list: float32
-        length: 4
-    - name: category
-      list:
-        class_label:
-          names:
-            '0': person
-            '1': bicycle
-            '2': car
-            '3': motorcycle
-            '4': airplane
-            '5': bus
-            '6': train
-            '7': truck
-            '8': boat
-            '9': traffic light
-            '10': fire hydrant
-            '11': stop sign
-            '12': parking meter
-            '13': bench
-            '14': bird
-            '15': cat
-            '16': dog
-            '17': horse
-            '18': sheep
-            '19': cow
-            '20': elephant
-            '21': bear
-            '22': zebra
-            '23': giraffe
-            '24': backpack
-            '25': umbrella
-            '26': handbag
-            '27': tie
-            '28': suitcase
-            '29': frisbee
-            '30': skis
-            '31': snowboard
-            '32': sports ball
-            '33': kite
-            '34': baseball bat
-            '35': baseball glove
-            '36': skateboard
-            '37': surfboard
-            '38': tennis racket
-            '39': bottle
-            '40': wine glass
-            '41': cup
-            '42': fork
-            '43': knife
-            '44': spoon
-            '45': bowl
-            '46': banana
-            '47': apple
-            '48': sandwich
-            '49': orange
-            '50': broccoli
-            '51': carrot
-            '52': hot dog
-            '53': pizza
-            '54': donut
-            '55': cake
-            '56': chair
-            '57': couch
-            '58': potted plant
-            '59': bed
-            '60': dining table
-            '61': toilet
-            '62': tv
-            '63': laptop
-            '64': mouse
-            '65': remote
-            '66': keyboard
-            '67': cell phone
-            '68': microwave
-            '69': oven
-            '70': toaster
-            '71': sink
-            '72': refrigerator
-            '73': book
-            '74': clock
-            '75': vase
-            '76': scissors
-            '77': teddy bear
-            '78': hair drier
-            '79': toothbrush
-  splits:
-  - name: train
-    num_bytes: 19687440712
-    num_examples: 118287
-  - name: validation
-    num_bytes: 801355784
-    num_examples: 5000
-  download_size: 20100375259
-  dataset_size: 20488796496
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
+license: unknown
 task_categories:
 - object-detection
-tags:
-- detection
-- object-detection
-- rt-detr
-- yolo
-- coco
----
+---
+
+# 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.
+
+## 📊 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("username/coco-2017")
+```
+
+---
+
+*Converted and uploaded with ❤️ using [hubify](https://github.com/benjamintli/hubify)*