datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kitti-yolo11n-robustness-benchmark
KITTI YOLO11n Robustness & Adversarial Benchmark Suite
This dataset contains 649,425 benchmark samples evaluating the perception robustness of YOLO11n (Ultralytics YOLOv11 nano in original FP32 precision) on the official KITTI Object Detection train set (3,711 images) under 35 attack & corruption techniques across 5 severity levels.
?? Benchmark Leaderboard (mAP@0.5 Drop on YOLO11n)
Clean Baseline AP50: 0.3555
Evaluation Model: YOLO11n (Original weights:… See the full description on the dataset page: https://huggingface.co/datasets/VietPhong/kitti-yolo11n-robustness-benchmark.fire-vn-yolo11seg-v1
Fire VN YOLO11-Seg v1
Fire VN YOLO11-Seg v1 is a prepared fire and smoke segmentation dataset focused
on Vietnamese visual contexts. It is intended for training and evaluating
YOLO11 segmentation models for early fire/smoke detection in scenes such as
urban alleys, residential areas, distant fire/smoke events, hard negative
visual distractors, and normal ambient scenes.
This dataset package is distributed as a ready-to-train YOLO segmentation zip:
fire_vn_yolo11seg_v1.zip… See the full description on the dataset page: https://huggingface.co/datasets/thanhhoangnvbg/fire-vn-yolo11seg-v1.red-dot_yolo11n_object_detectionfire-vn-yolo11seg-v1
Fire VN YOLO11-Seg v1
Fire VN YOLO11-Seg v1 is a prepared fire and smoke segmentation dataset focused
on Vietnamese visual contexts. It is intended for training and evaluating
YOLO11 segmentation models for early fire/smoke detection in scenes such as
urban alleys, residential areas, distant fire/smoke events, hard negative
visual distractors, and normal ambient scenes.
This dataset package is distributed as a ready-to-train YOLO segmentation zip:
fire_vn_yolo11seg_v1.zip… See the full description on the dataset page: https://huggingface.co/datasets/zxhvd/fire-vn-yolo11seg-v1.yolo11-source-dataset