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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.

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 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.

Unlock high-speed human body segmentation with our UNet Autoencoder model weights. Specially designed for flawless background removal.

The dataset features 75 different classes of Butterflies. The dataset contains about 1000+ labelled images including the validation images.

This dataset was collected in order to carry out segmentation, feature extraction, and classification tasks and compare the common segmentation.