When working with the YOLO (You Only Look Once) v3 deep learning model for object detection in a Jupyter Notebook or kernel, you need to handle the data required for training or inference.

The “Indian-Birds-Species-Image-Classification” consists of 25 bird species found in India, including Asian Green Bee-eater, Brown-Headed Barbet.

Using the YOLO algorithm to detect cars is a strong tool in AI and machine learning. But what really sets YOLO apart is its ability to quickly and accurately analyze images and videos in real-time.

This dataset comprises images of diverse types of vehicles.

At Globose Technology Solutions Private Limited, we’re all about facial keypoint detection because we know it can make a big difference. We’re always coming up with new and better ways to recognize faces, pushing the boundaries of what’s possible.

Our CCTV Human Pose Estimation Dataset is packed with useful data that can spark new ideas in AI research. With this dataset, you can lead the way in technology, building AI solutions that really matter.

A Facial Emotion Recognition (FER) dataset is a collection of facial images along with corresponding labels that represent the emotions or facial expressions displayed in those images. These datasets are crucial for training and evaluating machine learning models, particularly deep learning models, for the task of automatically recognizing and classifying human emotions based on facial expressions.

Labeled and Augmented Trash Images Dataset (8 Classes, Pascal VOC, COCO, and Yolo)

In the realm of AI data collection, possessing a high-quality dataset is indispensable. Our Cat and Dog Images Dataset surpasses expectations, providing an extensive and meticulously curated selection.

Join the community of businesses and professionals who have enhanced their images with Image Super Resolution.