Dataset Versions
Versions
2023-10-19 1:14am
v10
· a year ago
2023-09-15 11:31pm
v9
· a year ago
2023-09-15 11:26pm
v8
· a year ago
2023-09-14 8:12pm
v7
· a year ago
2023-09-11 12:07am
v6
· a year ago
2023-09-10 9:50pm
v5
· a year ago
2023-09-10 9:10pm
v4
· a year ago
2023-09-10 8:57pm
v3
· a year ago
2023-09-10 8:51pm
v2
· a year ago
2023-09-10 8:49pm
v1
· a year ago
v8
2023-09-15 11:26pm
Generated on Sep 15, 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.
5603 Total Images
View All Images
Dataset Split
Train Set 93%
5234Images
Valid Set 7%
369Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 20% of images
Hue: Between -54° and +54°
Exposure: Between -10% and +10%
Cutout: 2 boxes with 3% size each
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 6px