- Dec 02, 2020 · Imagenette is a subset of 10 easily classified classes from the Imagenet dataset. It was originally prepared by Jeremy Howard of FastAI. The objective behind putting together a small version of the Imagenet dataset was mainly because running new ideas/algorithms/experiments on the whole Imagenet take a lot of time.
- The dataset is designed following principles of human visual cognition. Our goal is to build a core of visual knowledge that can be used to train artificial systems for high-level visual understanding tasks, such as scene context, object recognition, action and event prediction, and theory-of-mind inference.
- If we run 90 epochs on the ImageNet- 1k dataset of 1.28×106images, the total number of operations is 90 ∗1.28 ×106∗7.72 ×109≈1018. Currently, the most powerful supercomputer can finish200 ×1015single-precision operations per second.
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