image-annotation
amz-image-annotationslingnan-architecture-image-annotation语料集名称：岭南建筑图像标注数据集
语料来源：AI DimSum Lab
简介：
该数据集对岭南地区典型建筑，如碉楼、骑楼、祠堂等进行外观特征标注，包括建筑类型、构件、装饰工艺、材质、颜色等，构建了面向岭南建筑文化的多模态基础资源。
为岭南文化数字化保护、岭南文化大模型等应用提供数据支持，对于活化和传承岭南文化具有重要意义。
pokemon-cards-image-and-annotationsmultilingual-image-annotations
Multilingual Image Annotations
Image annotations across 7 languages (en, es, fr, hi, zh, ar, pt) generated by google/gemma-4-31B-it via the Hugging Face Router. Each row pairs an image with an English description, multilingual descriptions, 21 VQA pairs (3 per language), and conditional object detections with normalized bounding boxes. When detections are present, a derivative image with rectangles drawn is included as boxed_image.
Stats
Images: 464… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/multilingual-image-annotations.Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.pick_and_place_annotation_imageThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Inspire",
"total_episodes": 1035,
"total_frames": 322070,
"total_tasks": 14,
"total_videos": 2070,
"total_chunks": 2,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1035"
},
"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/KGB0/pick_and_place_annotation_image.