Dataset Versions
Versions
2024-07-03 7:24am
v10
· 5 months ago
2024-06-07 12:26pm
v9
· 6 months ago
2024-05-29 1:19am
v8
· 6 months ago
2024-05-26 2:51pm
v7
· 6 months ago
2024-05-26 2:34pm
v6
· 6 months ago
2024-05-13 6:51pm
v5
· 6 months ago
2023-11-17 11:57pm
v4
· a year ago
2023-11-14 10:06pm
v3
· a year ago
2023-11-10 2:43am
v2
· a year ago
2023-11-09 12:11am
v1
· a year ago
v3
2023-11-14 10:06pm
Generated on Nov 14, 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.
9124 Total Images
View All Images
Dataset Split
Train Set 88%
8018Images
Valid Set 6%
543Images
Test Set 6%
563Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -50% and +50%
Blur: Up to 3px
Noise: Up to 5% of pixels