hmdliu/imagenet-captions-florence2l

ImageNet-1k captions (Florence-2-large) + CLIP ViT-L/14 text embeddings One caption per ImageNet-1k image (train 1,281,167 + val 50,000) and its CLIP text embedding, made for caption-conditioned latent-diffusion experiments (pcls-exp wave 5). No images are included. How they were made Captioner: florence-community/Florence-2-large (777M, native transformers>=4.57), task <DETAILED_CAPTION>, greedy decoding, max_new_tokens=80, fp16. Input crop: the centre square of… See the full description on the dataset page: https://huggingface.co/datasets/hmdliu/imagenet-captions-florence2l.