Dataset Versions
Versions
2023-01-11 9:37am
v17
· 2 years ago
2023-01-11 9:34am
v16
· 2 years ago
2023-01-11 9:29am
v15
· 2 years ago
2023-01-11 9:27am
v14
· 2 years ago
2023-01-11 9:23am
v13
· 2 years ago
2023-01-11 9:22am
v12
· 2 years ago
2023-01-11 9:21am
v11
· 2 years ago
2023-01-11 9:18am
v10
· 2 years ago
2023-01-11 9:17am
v9
· 2 years ago
2023-01-11 9:15am
v8
· 2 years ago
2023-01-10 11:39pm
v7
· 2 years ago
2023-01-10 11:39pm
v6
· 2 years ago
2023-01-10 11:38pm
v5
· 2 years ago
2023-01-10 11:35pm
v4
· 2 years ago
2023-01-10 11:15pm
v3
· 2 years ago
2023-01-10 11:14pm
v2
· 2 years ago
2023-01-10 11:12pm
v1
· 2 years ago
v9
2023-01-11 9:17am
Generated on Jan 11, 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.
15 Total Images
View All Images
Dataset Split
Train Set 100%
15Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 4.5px
Noise: Up to 5% of pixels
Cutout: 9 boxes with 13% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -16° and +16°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels