Object detection is a crucial task in computer vision, which involves identifying and classifying objects within an image. Our dataset page provides a comprehensive collection of datasets for object detection research and development.

Available Datasets

  • COCO (Common Objects in Context): This is a large-scale dataset containing over 300,000 images with object annotations.
  • ImageNet: A vast dataset of over 14 million images, used for visual object recognition research.
  • PASCAL VOC: A benchmark dataset for object detection, with images and annotations for various object categories.

How to Use the Datasets

  1. Download the Dataset: Visit our datasets page to download the required dataset.
  2. Preprocess the Data: Preprocess the data according to your specific needs using our preprocessing tools.
  3. Train Your Model: Use the preprocessed data to train your object detection model.
  4. Evaluate Your Model: Evaluate your model's performance using our evaluation tools.

Image Example

Here's an example of an object detection task:

Object Detection Example

By using our datasets and tools, you can advance your object detection research and development.