Dataset Versions
Versions
2023-04-12 5:42pm
v14
· 2 years ago
2023-04-09 2:04pm
v13
· 2 years ago
2023-03-30 1:11am
v8
· 2 years ago
2023-03-30 1:06am
v7
· 2 years ago
2023-03-30 1:02am
v6
· 2 years ago
2023-03-30 12:36am
v4
· 2 years ago
2023-03-28 4:32am
v3
· 2 years ago
2023-03-23 12:43pm
v2
· 2 years ago
2023-03-15 12:54pm
v1
· 2 years ago
v8
2023-03-30 1:11am
Generated on Mar 29, 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.
3541 Total Images
View All Images
Dataset Split
Train Set 87%
3096Images
Valid Set 8%
293Images
Test Set 4%
152Images
Preprocessing
Resize: Fill (with center crop) in 1280x1280
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 25% of images
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Exposure: Between -15% and +15%
Blur: Up to 0.75px
Noise: Up to 2% of pixels