Dataset Versions
Versions
2023-08-10 2:03pm
v10
· a year ago
2023-06-13 11:54pm
v9
· a year ago
2023-04-05 9:39pm
v8
· 2 years ago
2023-04-05 9:29pm
v7
· 2 years ago
2023-04-05 8:50pm
v6
· 2 years ago
2023-04-05 1:21pm
v5
· 2 years ago
2023-04-02 10:58am
v4
· 2 years ago
2023-04-01 10:19pm
v3
· 2 years ago
2023-03-31 12:49pm
v2
· 2 years ago
2023-03-31 1:28am
v1
· 2 years ago
v3
2023-04-01 10:19pm
Generated on Apr 1, 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.
1341 Total Images
View All Images
Dataset Split
Train Set 87%
1173Images
Valid Set 8%
112Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 2% of pixels