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llama-farm/military-labeled-yolo

Military-Labeled YOLO Dataset (DVIDS sourced) Multi-class military object detection in YOLO format. Source images pulled from the Defense Visual Information Distribution Service (DVIDS) public domain library; labeled via in-house Gemini-VLM-assisted pipeline with human-in-the-loop correction. Classes (12) ID Name 0 soldier 1 tank 2 apc 3 artillery 4 mlrs 5 military_truck 6 helicopter 7 aircraft 8 warship 9 missile_launcher 10 car… See the full description on the dataset page: https://huggingface.co/datasets/llama-farm/military-labeled-yolo.

sourceHugging Facecc0-1.0updated 4mo agoView on Hugging Face
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Dataset Card

Military-Labeled YOLO Dataset (DVIDS sourced)

Multi-class military object detection in YOLO format. Source images pulled from the Defense Visual Information Distribution Service (DVIDS) public domain library; labeled via in-house Gemini-VLM-assisted pipeline with human-in-the-loop correction.

Classes (12)

IDName
0soldier
1tank
2apc
3artillery
4mlrs
5military_truck
6helicopter
7aircraft
8warship
9missile_launcher
10car
11truck

Splits

YOLO format with train/val splits in train/{images,labels} and val/{images,labels}.

SplitImages
Train1,185
Val(see actual count after download)

License

DVIDS imagery is U.S. government work in the public domain (CC0). This dataset of derived labels is released under CC0-1.0 as well.

Source metadata

See companion repo llama-farm/military-labeled-clip for per-crop captions + DVIDS source URLs.

Usage

python
from ultralytics import YOLO
m = YOLO("yolo11s.pt")
m.train(data="data.yaml", epochs=50, imgsz=640)