Dataset Versions
Versions
2023-06-18 1:26am
v17
· 2 years ago
2023-06-17 11:36pm
v16
· 2 years ago
2023-06-17 11:36pm
v15
· 2 years ago
2023-06-17 11:33pm
v14
· 2 years ago
2023-06-17 8:59pm
v13
· 2 years ago
2023-06-17 7:30pm
v12
· 2 years ago
2023-06-17 7:27pm
v11
· 2 years ago
2023-06-17 7:22pm
v10
· 2 years ago
2023-06-17 7:14pm
v9
· 2 years ago
2023-06-17 7:01pm
v8
· 2 years ago
2023-06-16 10:22pm
v7
· 2 years ago
2023-06-16 10:20pm
v6
· 2 years ago
2023-06-16 10:02pm
v5
· 2 years ago
2023-06-16 10:00pm
v4
· 2 years ago
2023-06-16 9:57pm
v3
· 2 years ago
2023-06-16 9:55pm
v2
· 2 years ago
2023-06-16 9:54pm
v1
· 2 years ago
v17
2023-06-18 1:26am
Generated on Jun 17, 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.
300 Total Images
View All Images
Dataset Split
Train Set 100%
300Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each