Dataset Versions
Versions
2024-11-17 8:26pm
v10
· 6 days ago
2024-11-17 8:23pm
v9
· 6 days ago
2024-11-17 2:09pm
v8
· 7 days ago
2023-06-07 1:30pm
v7
· a year ago
2023-05-09 9:34am
v6
· 2 years ago
2023-05-09 9:29am
v5
· 2 years ago
2023-05-08 1:26pm
v3
· 2 years ago
2023-05-08 6:27am
v2
· 2 years ago
2023-05-08 4:29am
v1
· 2 years ago
v2
2023-05-08 6:27am
Generated on May 8, 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.
9250 Total Images
View All Images
Dataset Split
Train Set 97%
9012Images
Valid Set 2%
224Images
Test Set 0%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 4 dropped
Augmentations
Outputs per training example: 3
Flip: Vertical
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -12% and +12%
Exposure: Between -13% and +13%
Blur: Up to 1px
Noise: Up to 5% of pixels