datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GrapesNet_depth
Grapesnet Depth
This dataset comprises real-world RGB-D imagery captured in a mixed vineyard environment for grape crop detection. Images were collected using tripod-mounted smartphone and depth camera systems, providing synchronized color and depth data from Sonaka grapevine locations in Yelavi, Maharashtra, India. The dataset contains 847 images with no classification, segmentation, or bounding-box annotations.
This dataset is indexed on https://project-agml.github.io/ as part… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/GrapesNet_depth.GrapesNet_single_cluster_depth
Grapesnet Single Cluster Depth
This dataset provides real RGB-D imagery of grape clusters in a mixed agricultural environment. Captured using a tripod-mounted smartphone and depth camera system, it offers synchronized color and depth data for natural vineyard conditions to support crop detection research. The dataset contains 696 images with no classification, segmentation, or bounding-box annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/GrapesNet_single_cluster_depth.Monocular-DepthClevr_CoGenT_ValB_w_depth_promptmvtec_depth_prompt