Dataset Versions
Versions
V3.1 yolov5m
v13
· a year ago
V3.0 yolov5s
v12
· a year ago
V2.1.1 tilling experiment
v11
· a year ago
V2.1.0 Improved Dataset - augmentated
v8
· a year ago
V2.2.0 Best Model yolov8s
v7
· a year ago
V2.0.1 model bugfix
v6
· a year ago
v2.0.0 nowe wytyczne - bad model
v5
· a year ago
v1.1.0 suchy rzepak - aug.
v3
· a year ago
v1.0.0
v1
· a year ago
v12
V3.0 yolov5s
Generated on Aug 23, 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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417 Total Images
View All Images
Dataset Split
Train Set 81%
339Images
Valid Set 13%
56Images
Test Set 5%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 3% of pixels