Custom Object Detection (Military) Image Dataset
v2
soldiers and persons
Generated on Apr 16, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
565 Total Images
View All Images
Dataset Split
Train Set 70%
394Images
Valid Set 20%
112Images
Test Set 10%
59Images
Preprocessing
Modify Classes: 2 remapped, 2 dropped
Filter Null: Require all images to contain annotations.
Augmentations
No augmentations were applied.
Similar Projects
Truck
48 images
ZFINAL
9415 images
person-car-weapon-soldier-milita
7677 images
alvaro-alfaro-xgg3t
999 images
civil-soldier
999 images