Dataset Versions
Versions
2024-02-12 2:37am
v10
· 10 months ago
2024-02-12 2:32am
v9
· 10 months ago
2024-02-12 2:29am
v8
· 10 months ago
2024-02-12 2:28am
v7
· 10 months ago
2024-02-10 11:29pm
v6
· 10 months ago
2024-02-10 11:28pm
v5
· 10 months ago
2024-01-29 7:19pm
v4
· 10 months ago
2024-01-29 2:59am
v3
· 10 months ago
2024-01-29 12:59am
v2
· 10 months ago
2024-01-28 9:50pm
v1
· 10 months ago
v3
2024-01-29 2:59am
Generated on Jan 28, 2024
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.
60 Total Images
View All Images
Dataset Split
Train Set 85%
51Images
Valid Set 15%
9Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.01% of pixels