Explore our Google reCAPTCHA V2 Image Dataset, designed specifically for advancing object detection technologies like YOLO.

The Oregon Wildlife dataset is a curated collection of 14,013 images representing the rich biodiversity of Oregon. Assembled from a personal passion for wildlife.

Participate in the HackerEarth ‘Keep Babies Safe’ Deep Learning challenge to hone your unsupervised machine learning skills.

The PlantVillage Dataset is meticulously structured into training, testing, and validation folders, each containing 15 subfolders for different plant disease classes.

This was a toy dataset I collected for me to test image classification models quickly. This dataset does not have much images per class.

This rich dataset begins with 181 manually downloaded and annotated images using the makesense.ai tool.

This dataset is a valuable resource catering to the interests of biscuit enthusiasts, packaging designers, market researchers.

This data set is a collection of 2,000 Bike and Car images. While collecting these images, It was made sure that all types of bikes and cars.

This dataset is created for the project under Omdena’s Local Chapter to develop a Rice Disease Classifier using open-source data and computer vision techniques.

Automatic age estimation from facial images is one of the popular and challenging tasks that have different fields of applications such as controlling the content of the watched media depending on the customer’s age.