Dataset Versions
Versions
2023-12-03 11:47pm
v9
· a year ago
2023-12-03 6:56pm
v8
· a year ago
2023-07-24 4:24pm
v7
· a year ago
2023-07-17 6:36pm
v6
· a year ago
2023-07-15 3:24pm
v5
· a year ago
2023-07-15 3:18pm
v4
· a year ago
2023-07-14 3:33am
v3
· a year ago
2023-07-11 1:47pm
v2
· a year ago
2023-07-08 10:57pm
v1
· a year ago
v9
2023-12-03 11:47pm
Generated on Dec 4, 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.
1666 Total Images
View All Images
Dataset Split
Train Set 87%
1449Images
Valid Set 9%
144Images
Test Set 4%
73Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x480
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 4 boxes with 2% size each
Bounding Box: Brightness: Between -7% and +7%