TRY THIS MODEL
Drop image here to test
military-object-detection-dokod/1 (latest)
Versions
v1
2024-05-29 4:03pm
Generated on
May 29, 2024
Popular Download Formats
YOLOv11
TXT
annotations and YAML config used with YOLOv11.
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.
5408 Total Images
View All Images
Dataset Split
Train
Set
88%
4752Images
Valid
Set
8%
423Images
Test
Set
4%
233Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Grayscale:
Apply to 15% of images
Hue:
Between -24° and +24°
Brightness:
Between -25% and +25%
Exposure:
Between -9% and +9%
Blur:
Up to 3.7px
Noise:
Up to 10% of pixels
Similar Projects
See More
2250 images2 models
9478 images1 model
9007 images1 model
1391 images1 model
1234 images