Llama3-MS-CLIP is the first visual language model in the CLIP family that can understand multispectral images. It is trained on one million image-text pairs from the SSL4EO-S12-v1.1 dataset and the generated descriptions, and outperforms other RGB-based models in most benchmark tests.

A curvature classification model trained on RGB images and wide-angle dense optical flow for video classification tasks.

Computer VisionTensorflow

A monocular image normal estimation model fine-tuned based on Stable Diffusion, capable of predicting surface normal maps from a single RGB image

Computer VisionDiffusersEnglish

A safety vision segmentation model fine-tuned from nvidia/mit-b5, specializing in safety and hazard zone identification in RGBD images

Computer VisionTransformers

LoRA adapter weights for Stable Diffusion 2 Inpainting model fine-tuned on Sentinel-2 satellite RGB image annotated dataset

Computer VisionDiffusers

LDM3D is a 3D latent diffusion model capable of generating RGB images and depth map data from text prompts.

MultimodalDiffusersEnglish

BBS-Net is a deep learning model for RGB-D salient object detection, employing a bifurcated backbone strategy network architecture that effectively processes RGB and depth image data.

Computer VisionTransformers

A vision model based on Swin Transformer Tiny architecture, specifically fine-tuned for algae RGB image classification tasks

Computer VisionTransformers