# High-Precision Image Recognition

AIMv2 is a series of vision models pretrained with multimodal autoregressive objectives, excelling in multimodal understanding benchmarks.

This is an astrophotography object classification model trained via AutoTrain, capable of accurately identifying different object categories in astrophotography.

A meme classification model fine-tuned based on Microsoft's ResNet-152 architecture, performing well in image classification tasks.

This model is an image classification model based on the ConvNeXt-Tiny architecture, trained on the Dogs vs Food dataset, specifically designed to distinguish between images of dogs and food.

A deep residual network model pre-trained on the ImageNet-1k dataset for image classification tasks