CoolFace
19 results

scene-graph

Voxel51 /GQA-Scene-Graph Dataset Card for GQA-35k The GQA (Visual Reasoning in the Real World) dataset is a large-scale visual question answering dataset that includes scene graph annotations for each image. This is a FiftyOne dataset with 35000 samples. Note: This is a 35,000 sample subset which does not contain questions, only the scene graph annotations as detection-level attributes. You can find the recipe notebook for creating the dataset here Installation If you haven't already… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/GQA-Scene-Graph.imageobject-detection10K<n<100K4 likes2.5k downloads2y agoHugging Facebrandonyang /chris_robot_scene_graph_droid_120This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "panda", "total_episodes": 224, "total_frames": 51656, "total_tasks": 15, "total_videos": 0, "total_chunks": 1, "chunks_size": 1000, "fps": 15, "splits": { "train": "0:224" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/chris_robot_scene_graph_droid_120.imagerobotics10K<n<100K0 likes166 downloads11mo agoHugging Facelizhuang144 /VG_scene_graph_cleanA cleaned version of Visual Genome dataset for textual scene graph parsing. 'has_attribute' relation is referred to as the relation 'is' in our processed data. For details, please see "FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing", ACL 2023. @article{li2023factual, title={FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing}, author={Li, Zhuang and Chai, Yuyang and Zhuo, Terry Yue and Qu, Lizhen and Haffari, Gholamreza and Li, Fei… See the full description on the dataset page: https://huggingface.co/datasets/lizhuang144/VG_scene_graph_clean.tabular1M<n<10M0 likes71 downloads3y agoHugging FaceEgoF0102 /cholec-scene-graph-val Cholec Scene-Graph Validation Benchmark This is a self-contained, 2,298-example multiple-choice surgical VQA validation benchmark derived from CholecT45 test videos 74, 75, 78, 79, and 80. It has six subsets: L1 (504), L2 (504), L3 (390), L4 (300), CVS (300), and DYN (300). Dataset structure The dataset is Parquet-sharded for Hub preview and streaming. image contains the primary PNG frame as bytes; image_after contains the second frame for DYN examples and is null… See the full description on the dataset page: https://huggingface.co/datasets/EgoF0102/cholec-scene-graph-val.imagevisual-question-answering1K<n<10K0 likes68 downloads2mo agoHugging Facexxhe /g-retriever-scene-graphstabular100K<n<1M0 likes39 downloads2y agoHugging Facebrandonyang /chris_robot_scene_graphThis dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v2.1", "robot_type": "panda", "total_episodes": 224, "total_frames": 51656, "total_tasks": 15, "total_videos": 0, "total_chunks": 0, "chunks_size": 1000, "fps": 15, "splits": { "train": "0:224" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path":… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/chris_robot_scene_graph.imagerobotics10K<n<100K0 likes33 downloads11mo agoHugging Face