Dataset Versions
Versions
2023-10-19 10:25am
v19
· a year ago
2023-10-16 11:07am
v18
· a year ago
2023-10-08 12:07am
v17
· a year ago
2023-10-07 7:18pm
v16
· a year ago
2023-09-12 9:52pm
v15
· a year ago
2023-09-03 5:26pm
v14
· a year ago
2023-08-21 10:40pm
v13
· a year ago
2023-08-13 2:22pm
v12
· a year ago
2023-07-21 5:42pm
v11
· a year ago
jednoslad - specjal
v10
· a year ago
jednoslad - specjal
v9
· a year ago
Motorcycles Image Dataset
v6
· a year ago
motor policyjny
v4
· a year ago
hulajnoga
v3
· a year ago
autobus2
v2
· a year ago
autobus
v1
· a year ago
v4
motor policyjny
Generated on Jul 7, 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
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1087 Total Images
View All Images
Dataset Split
Train Set 87%
951Images
Valid Set 8%
90Images
Test Set 4%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each