This dataset comprises images of four distinct types of animals: nilgai, horse, cow, and water buffalos.

In the context of textile fabric, rare anomaly can occurs, hence compromizing the quality of the tissus. In order to avoid that in some scenario, it is crucial to detect the defect.

Explore our Facial Skin Diseases Dataset designed for object detection projects, featuring 188 labeled images of acne. Ideal for training.

Explore the Enhanced Face Attributes Dataset, featuring over 6,000 curated images categorized by distinct facial attributes and accessories.

The dataset uses advanced image segmentation techniques to isolate areas of interest, critical for diagnosing skin conditions and enhancing product personalization in the beauty industry.

Explore our specialized dataset designed for dog face recognition. Featuring 160×160 resolution images with enhanced clarity.

Explore our Elderly Fall Detection Dataset designed for training machine learning models to detect falls in real time.

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.