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Discover the LightS Specularity Dataset, featuring 2603 photo-realistic rendered views from professionally designed indoor scenes.

The dataset is suitable for object detection tasks, particularly for training computer vision models to recognize and localize road signs.

Explore the HeteroSwitch Dataset, designed for research on system-induced data heterogeneity in Federated Learning environments.

We made this dataset to speed up the development of computer programs that can detect fractures automatically. This will help improve medical diagnosis and take better care of patients.

Manually collected image dataset of sugarcane leaf disease. It has mainly five main categories in it. Healthy, Mosaic, Redrot, Rust, and Yellow disease.

Both the validation and test sets have 5 images for each of the 50 parts. The images are all in JPG format and have dimensions of 224 x 224 pixels with 3 color channels (RGB).

Researchers and practitioners in the field of medical image analysis can use this dataset to train and evaluate semantic segmentation models for tumor detection.

This dataset contains car images for object detection task. The dataset is split into two folders, namely train and test.

This dataset is useful for training and testing object detection models, especially those focused on understanding urban scenes and safety applications.