Dataset Versions
Versions
2024-02-20 5:18pm
v13
· 9 months ago
Normal version
v12
· 9 months ago
2024-02-20 4:54pm
v11
· 9 months ago
Auto orient-Rotation
v10
· 9 months ago
Auto orient and Rotation
v9
· 9 months ago
Auto oriented and shear
v8
· 9 months ago
Title and Brightness
v7
· 9 months ago
Auto Adjust Contrast and Crop-Saturation
v6
· 9 months ago
Static Crop and Grayscale
v5
· 9 months ago
Auto-Orient- Rotation
v4
· 9 months ago
v6
Auto Adjust Contrast and Crop-Saturation
Generated on Feb 8, 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.
3762 Total Images
View All Images
Dataset Split
Train Set 91%
3438Images
Valid Set 6%
232Images
Test Set 2%
92Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Saturation: Between -25% and +25%