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kahua-ml/nameplate1

Nameplate Detection Dataset This dataset contains 1000 images for object detection of nameplates and related warning signs. Dataset Details Total Images: 1000 Classes: 4 (nameplate, w, warning, yellow) Train: 702 images Validation: 149 images Test: 149 images Usage from datasets import load_dataset # Load the dataset dataset = load_dataset("kahua-ml/nameplate1") # Access splits train_data = dataset["train"] val_data = dataset["valid"]… See the full description on the dataset page: https://huggingface.co/datasets/kahua-ml/nameplate1.

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Nameplate Detection Dataset

This dataset contains 1000 images for object detection of nameplates and related warning signs.

Dataset Details

  • —Total Images: 1000
  • —Classes: 4 (nameplate, w, warning, yellow)
  • —Train: 702 images
  • —Validation: 149 images
  • —Test: 149 images

Usage

python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("kahua-ml/nameplate1")

# Access splits
train_data = dataset["train"]
val_data = dataset["valid"] 
test_data = dataset["test"]

# Example usage
example = train_data[0]
print(f"Image ID: {example['image_id']}")
print(f"Image size: {example['width']}x{example['height']}")
print(f"Number of objects: {len(example['objects']['bbox'])}")
print(f"Categories: {example['objects']['category']}")

Data Format

Each example contains:

  • —image_id: Unique identifier for the image
  • —image: PIL Image object
  • —width: Image width in pixels
  • —height: Image height in pixels
  • —objects: Dictionary containing:
  • —bbox: List of bounding boxes [x, y, width, height] in COCO format
  • —category_id: List of category IDs
  • —category: List of category names
  • —area: List of bounding box areas
  • —iscrowd: List of crowd flags

Original Dataset

This dataset was sourced from Roboflow Universe: https://universe.roboflow.com/flying-squirrels/nameplate-detection

Citation

bibtex
@misc{
    nameplate-detection_dataset,
    title = { Nameplate Detection Dataset },
    type = { Open Source Dataset },
    author = { Flying Squirrels },
    howpublished = { \url{ https://universe.roboflow.com/flying-squirrels/nameplate-detection } },
    url = { https://universe.roboflow.com/flying-squirrels/nameplate-detection },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { mar },
    note = { visited on 2025-01-25 },
}