Please visit the website for the original Flickr30k Dataset to obtain the images for the dataset. [Flickr30k] Reference: We have a journal version of our paper with a stronger baseline on the phrase localization task: Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo...
This dataset contains 244k coreference chains and 276k manually annotated bounding boxes for each of the 31,783 images and 158,915 English captions (five per image) in the original dataset. To obtain the images for this dataset, please visit theFlickr30K webpageand fill out the form linked ...
outperformspreviousonesthataretrainedonindividualderstandingofinctionsamongimages,questions,and tasksanddatasets.Wealsovisualizetheinternalbehavioursanswers.Althoughtheseworkshavedemonstratedthepo- ofthetask-specificdecoderstoyzeeffectsofjointtentialofmulti-tasklearningforthevision-languagetasks, ...
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.
imageflickrdatasetclipcaptioning-imagesimage-textflickr8kflickr30ksiglip UpdatedFeb 6, 2024 PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k multi-modalcliplinear-classificationflickr8kzero-shot-classificationflickr30ktext-image-retrieval ...
The Flickr30K Entities dataset is an extension to the Flickr30K dataset. It augments the original 158k captions with 244k coreference chains, linking mentions of the same entities across different captions for the same image, and associating them with 27
img_path = "finetune/tasks/flickr30k/Images/" + id + ".jpg" query = ( "Image Caption: " + cap + "\nIs the image relevant to the caption? Answer 'Yes' or 'No'." ) prob_yes = cal_relevance( model_path, img_path, query, reranker_model, tokenizer, image_processor, ) rerank...
This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains linking mentions of the same entities in images, as well as 276k manually annotated bounding boxes corresponding to each entity. Such annotation is essential for continued progress in...
This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains linking mentions of the same entities in images, as well as 276k manually annotated bounding boxes corresponding to each entity. Such annotation is essential for continued progress in...
dataset["images"].append({"id": int(result["image_id"])}) coco = COCO() # Manually create index here coco.dataset = dataset coco.createIndex() flickr_result = coco.loadRes(stored_results) flickr_eval = COCOEvalCap(coco, flickr_result) imgIds = flickr_eval.params["image_id"] gts ...