Dataset Versions
Versions
Traxity
v11
· 5 months ago
Ultrix
v10
· 5 months ago
Ultieye
v8
· 5 months ago
Infinitones
v7
· 6 months ago
Leyans
v6
· 6 months ago
Sterport_Resize
v5
· 6 months ago
SterrenlaanDatasetWithDefault
v4
· 6 months ago
Standard_Dataset
v3
· 6 months ago
Resized_Standard_Dataset
v2
· 6 months ago
NonStandardDataset
v1
· 6 months ago
v10
Ultrix
Generated on Jun 16, 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.
7244 Total Images
View All Images
Dataset Split
Train Set 94%
6839Images
Valid Set 3%
221Images
Test Set 3%
184Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 960x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
Shear: ±7° Horizontal, ±10° Vertical
Grayscale: Apply to 2% of images
Hue: Between -5° and +5°
Saturation: Between -2% and +2%
Brightness: Between 0% and +20%
Blur: Up to 1.5px
Noise: Up to 1.01% of pixels