Counter-UAS & defenceUAV & Aerial View: Battle Tank Detection
Synthetic aerial dataset for battle tank detection from UAV and drone perspectives. 3,000 YOLO-annotated images with 164 open-source samples on Kaggle.
- Size
- 3,000 images
- Format
- YOLO
YOLO-format datasets
15 datasets
Counter-UAS & defenceSynthetic aerial dataset for battle tank detection from UAV and drone perspectives. 3,000 YOLO-annotated images with 164 open-source samples on Kaggle.
Behaviour & safetyTrain a shoplifting detection model: 5,000+ synthetic CCTV frames and 100+ videos with YOLO, pose and VLM labels. Free 400-image sample on Kaggle.
Weapons & threatsSynthetic ATM robbery detection dataset with 3,000 YOLO images. Four classes: offender, victim, gun, knife. 237 open-source samples on Kaggle.
Fire & smokeSmoke and fire detection dataset: 1,000 synthetic CCTV images of early-stage fires plus look-alike negatives, person/smoke/fire boxes in YOLO and COCO.
Fire & smokeWildfire smoke detection dataset: 1,000 synthetic fire-lookout images with smoke and wildfire boxes in YOLO and COCO, night fires and look-alike negatives.
Weapons & threatsTrain AI weapon detection on 1,000 synthetic CCTV images: handguns, rifles, shotguns and look-alike negatives, labelled in YOLO and COCO. Free sample included.
Weapons & threatsSynthetic knife detection dataset: 1,000 CCTV images of people holding knives plus look-alike negatives, labelled in YOLO and COCO. Free sample.
Behaviour & safetySynthetic fall detection dataset: 1,000 CCTV images of fallen people plus sitting and kneeling look-alikes, labelled person / fallen_person in YOLO and COCO.
Counter-UAS & defenceSynthetic airport drone detection dataset: 1,200 YOLO images, small-object focus, adverse weather, bird-vs-drone labels. GDPR compliant.
Behaviour & safetyFight detection dataset: 1,000 synthetic CCTV images with person boxes, 17-keypoint poses and fight boxes in YOLO-pose and COCO, plus look-alike negatives.
Weapons & threatsSynthetic hard-negative dataset: rifles vs umbrellas to cut weapon-detection false positives. 1,000 YOLO images. Open-source sample available.
Weapons & threatsFix the 'Doritos Effect' in weapon detection AI with handgun vs chip-bag hard negatives. 1,100 YOLO images. Open-source sample available.
Counter-UAS & defenceSynthetic drone swarm dataset for Counter-UAS training. 5-15 drones per frame, 10-50 pixel objects, adverse weather. 1,000+ YOLO-annotated images.
Counter-UAS & defenceSynthetic drone-perspective dataset distinguishing civilians from armed personnel. 800 YOLO images for aerial surveillance AI training.
Behaviour & safetySynthetic driver drowsiness dataset with 10,000 images and pixel-perfect eye keypoint annotations. 168 open-source samples. Ideal for fatigue detection AI.
A YOLO dataset is a folder of images with one .txt per image: class index, box centre and size, normalised to the image. All of the sets below are delivered that way, plus COCO JSON, so they load in Ultralytics trainers, RT-DETR, D-FINE and RF-DETR without conversion. Pose datasets use the YOLO-pose layout with 17 keypoints per box.
Before you buy, the free sample trains in one command; our guide walks through the full loop, from the download to a validated model.
Prices
| Images | Research | Commercial | Order |
|---|---|---|---|
| 1,000 | $149 | $590 | On the dataset page |
| 5,000 | Not offered | $2,400 | Order 5,000 |
| 10,000 | Not offered | $4,500 | Order 10,000 |
| 20,000 | Not offered | $8,500 | Order 20,000 |
Larger packs are assembled for your order and delivered as a download link within five working days. Prices in USD, excl. VAT, one-time, per dataset.
Read next
Guide
Synthetic Data for YOLO Training: A Step-by-Step Guide
Train YOLOv8 or YOLOv11 on synthetic data — dataset layout, data.yaml, training commands, domain-gap fixes, and synthetic vs manual labeling results.
Guide
YOLO Licensing vs Dataset Licensing: What a Commercial Product Needs
Ultralytics YOLO is AGPL-3.0 unless you buy an Enterprise licence, and your training data has its own licence. What a commercial vision product needs from both.
Guide
Training a lying-on-the-ground detector on synthetic data only: D-FINE vs RF-DETR vs YOLO on real footage
D-FINE, RF-DETR and YOLO26 trained only on synthetic images, then scored on real CAUCAFall and GMDCSA-24 footage: method, full results, recipe and caveats.
Questions
One text file per image, one row per object: class index, then box centre x and y, width and height, all normalised to 0–1. A data.yaml lists the class names and the train and val folders.
YOLOv5, YOLOv8, YOLO11 and YOLO26 read the format directly. The COCO JSON that ships alongside works with RT-DETR, D-FINE, RF-DETR and Faster R-CNN.
Ultralytics YOLO is AGPL-3.0 unless you buy an Enterprise licence; the dataset licence is separate. Our YOLO licence guide explains both.
More collections
Send five frames from your cameras. We reply within one working day with the fastest way to fix it — a catalogue dataset, a stress test or a custom pack.