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01ProGamerGov /synthetic-dataset-1m-dalle3-high-quality-captions Dataset Card for Dalle3 1 Million+ High Quality Captions Alt name: Human Preference Synthetic Dataset Example grids for landscapes, cats, creatures, and fantasy are also available. Description: This dataset comprises of AI-generated images sourced from various websites and individuals, primarily focusing on Dalle 3 content, along with contributions from other AI systems of sufficient quality like Stable Diffusion and Midjourney (MJ v5 and above). As users typically… See the full description on the dataset page: https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions.imagetext-to-image1M<n<10M154 likes1.9k downloads2y agoHugging Face02iamshnoo /dallestreet Citation Information @misc{mukherjee2024crossroadscontinentsautomatedartifact, title={Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models}, author={Anjishnu Mukherjee and Ziwei Zhu and Antonios Anastasopoulos}, year={2024}, eprint={2407.02067}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2407.02067}, } imageimage-classification1K<n<10K0 likes883 downloads2y agoHugging Face03Rapidata /700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3 NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Preference_Dataset Rapidata Image Generation Preference Dataset This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment. Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3.imagetext-to-image10K<n<100K20 likes860 downloads2y agoHugging Face04Rapidata /Flux_SD3_MJ_Dalle_Human_Alignment_Dataset NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Alignment_Dataset Rapidata Image Generation Alignment Dataset This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment. Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset Link to the Preference dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Alignment_Dataset.imagetext-to-image10K<n<100K16 likes690 downloads2y agoHugging Face05Rapidata /Flux_SD3_MJ_Dalle_Human_Coherence_Dataset NOTE: A newer version of this dataset is available: Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Coherence_Dataset Rapidata Image Generation Coherence Dataset This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment. Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3 Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset.imagequestion-answering10K<n<100K12 likes386 downloads2y agoHugging Face06lingcarzy /synthetic-dataset-1m-dalle3-high-quality-captions Dataset Card for Dalle3 1 Million+ High Quality Captions Alt name: Human Preference Synthetic Dataset Example grids for landscapes, cats, creatures, and fantasy are also available. Description: This dataset comprises of AI-generated images sourced from various websites and individuals, primarily focusing on Dalle 3 content, along with contributions from other AI systems of sufficient quality like Stable Diffusion and Midjourney (MJ v5 and above). As users typically… See the full description on the dataset page: https://huggingface.co/datasets/lingcarzy/synthetic-dataset-1m-dalle3-high-quality-captions.imagetext-to-image1M<n<10M0 likes39 downloads6mo agoHugging Face

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