This is why we need to move beyond these traditional images and explore new, more modern, and diverse datasets. Here are some examples of new datasets that are more relevant to modern image compression research:
* **ImageNet:** A massive dataset of over 14 million images, covering a wide range of objects and scenes. * **COCO:** A dataset of over 80,000 images with annotations for object detection, segmentation, and captioning.
This is a collection of images showcasing the power of digital photography and 3D modeling. The images are a mix of real-world and computer-generated imagery. * **big_building:** This image is a 3D model rendered using ray-tracing. * **big_tree:** This image is a photograph taken with a Hasselblad H3D II-39 camera.
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