# About: The dataset was collected on the https://www.rapidata.ai platform and contains tens of thousands of human annotations of 70+ different kinds of objects. Rapidata makes it easy to collect m
The data consists of .png files for the images and .npy files for the data labels. For the data generation and Data_Loader.ipynb, we used python 3.9, pytorch 1.10, and numpy 1.21 but any of the same m
Explore the V2 Balloon Detection Dataset with 74 annotated images and a single CSV file. Perfect for testing object detection algorithms like YOLO and Faster R-CNN.
