datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SawitMVC
SawitMVC
SawitMVC is a multi-view oil palm fruit bunch detection and counting dataset. It contains expert-reviewed YOLO annotations and per-tree JSON ground truth for counting unique fruit bunches across 4-8 camera views.
Dataset Summary
Property
Value
Trees
953 (DAMIMAS: 854, LONSUM: 99)
Images
3,992 (960 x 1280 px, JPEG)
Views per tree
4 sides (45 trees have 8 sides)
Annotation format
YOLO v8 labels + JSON ground truth
Classes
4 maturity… See the full description on the dataset page: https://huggingface.co/datasets/ULM-DS-Lab/SawitMVC.Sawit-Weight
Sawit-Weight
Two-view field photographs of oil palm fresh fruit bunches (FFB, tandan buah segar), each
paired with a bounding box and the ground-truth weight measured on a scale at the collection
point. The dataset targets vision-based weight estimation and bunch detection for smallholder
and estate harvest logistics.
Ringkasan: 31 tandan buah segar kelapa sawit varietas TANERA dari blok 303, difoto dari dua
sisi dan ditimbang langsung di lapangan. Setiap gambar disertai kotak… See the full description on the dataset page: https://huggingface.co/datasets/ULM-DS-Lab/Sawit-Weight.