Dataset Versions
Versions
2024-03-01 1:49pm
v9
· 9 months ago
2024-03-01 1:29pm
v8
· 9 months ago
2024-03-01 1:24pm
v7
· 9 months ago
2024-02-27 5:08pm
v6
· 9 months ago
2024-02-27 4:58pm
v5
· 9 months ago
2024-02-27 4:57pm
v4
· 9 months ago
2023-09-03 11:05pm
v3
· a year ago
2023-09-03 10:55pm
v2
· a year ago
2023-08-31 6:37pm
v1
· a year ago
v1
2023-08-31 6:37pm
Generated on Aug 31, 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.
898 Total Images
View All Images
Dataset Split
Train Set 88%
786Images
Valid Set 8%
75Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 450x450
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -26° and +26°
Saturation: Between -44% and +44%
Brightness: Between -36% and +36%
Blur: Up to 1.5px
Noise: Up to 1% of pixels