Dataset Versions
Versions
2024-04-26 6:42pm
v9
· 8 months ago
2024-04-26 6:36pm
v8
· 8 months ago
2024-04-26 5:36pm
v7
· 8 months ago
2024-04-23 1:22pm
v6
· 8 months ago
2024-01-30 11:41am
v5
· a year ago
2024-01-29 5:40pm
v4
· a year ago
2024-01-29 5:03pm
v3
· a year ago
2024-01-29 4:59pm
v2
· a year ago
2024-01-29 4:51pm
v1
· a year ago
v5
2024-01-30 11:41am
Generated on Jan 30, 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.
156 Total Images
View All Images
Dataset Split
Train Set 90%
141Images
Valid Set 4%
6Images
Test Set 6%
9Images
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, 28% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -48% and +48%
Noise: Up to 0.93% of pixels
Cutout: 4 boxes with 10% size each
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels