Dataset Versions
Versions
2022-09-05 3:45pm
v10
· 2 years ago
2022-08-17 4:42pm
v9
· 2 years ago
2022-07-20 12:25pm
v8
· 2 years ago
2022-07-19 7:17pm
v7
· 2 years ago
2022-06-30 11:37am
v6
· 2 years ago
2022-06-28 10:42am
v5
· 2 years ago
2022-06-28 10:35am
v4
· 2 years ago
2022-06-03 9:58am
v3
· 2 years ago
2022-05-30 9:33am
v2
· 2 years ago
2022-05-27 4:30pm
v1
· 3 years ago
v2
2022-05-30 9:33am
Generated on May 30, 2022
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.
974 Total Images
View All Images
Dataset Split
Train Set 88%
853Images
Valid Set 9%
83Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 3px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down