datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Recruitment-Task-3
DeepWeeds - AI-MED AGH convenience mirror
This is a convenience mirror of the official DeepWeeds image archive and the
upstream annotations pinned to a specific commit. original/images.zip is
preserved unchanged; images are not extracted or duplicated here. models.zip
from the source authors is deliberately not mirrored.
Dataset facts
17,509 in-situ images from Queensland, Australia.
Nine classes: eight weed species plus Negative.
The authors publish five folds… See the full description on the dataset page: https://huggingface.co/datasets/AI-MED-AGH/Recruitment-Task-3.aimeghamuseCOCOLogic-v2
COCOLogic-V2
COCOLogic-V2 is an object-centric dataset for visual inductive reasoning on real-world
images. Built on MSCOCO, it frames reasoning as a multilabel classification task over 10
compositional first-order-logic rules (object presence/absence, counting, and count
comparisons). Samples of each rule are divided into different positive variants, as well
as types of near-boundary (NB) negatives, and the typically easy far-from-boundary (FB)
negatives. These annotations… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/COCOLogic-v2.