What are the best datasets for training image recognition models?
Some of the best datasets include ImageNet, COCO, and CIFAR-10. Each has unique features for training.
Can you tell me more about ImageNet?
ImageNet is a large visual database designed for use in visual object recognition software research. It contains over 14 million images.
What about COCO? How is it different?
COCO, or Common Objects in Context, focuses on object detection and segmentation, providing images with complex scenes.
Are there any smaller datasets for quick experiments?
Yes, datasets like MNIST and CIFAR-10 are smaller and great for quick experiments and prototyping.
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