Dataset Versions
Versions
2023-12-11 9:04pm
v13
· a year ago
2023-12-10 1:43pm
v12
· a year ago
2023-12-10 1:38pm
v11
· a year ago
2023-12-10 11:03am
v10
· a year ago
2023-12-10 10:29am
v9
· a year ago
2023-12-10 10:13am
v8
· a year ago
2023-11-28 12:19am
v7
· a year ago
2023-11-27 8:55pm
v6
· a year ago
2023-11-27 7:16pm
v5
· a year ago
2023-11-27 7:10pm
v4
· a year ago
2023-10-20 10:34pm
v3
· a year ago
2023-10-20 1:52pm
v2
· a year ago
2023-10-20 9:43am
v1
· a year ago
v12
2023-12-10 1:43pm
Generated on Dec 10, 2023
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.
1916 Total Images
View All Images
Dataset Split
Train Set 88%
1695Images
Valid Set 11%
213Images
Test Set 0%
8Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 78% of images to contain annotations.
Augmentations
Outputs per training example: 3
Cutout: 5 boxes with 4% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -84% and +84%
Bounding Box: Blur: Up to 11px
Bounding Box: Noise: Up to 5% of pixels