Dataset Versions
Versions
2023-04-17 3:31pm
v9
· 2 years ago
Preprocessed 2023-01-31 1-34pm
v8
· 2 years ago
Raw 2023-01-31 11-58am
v7
· 2 years ago
2023-01-31 2:55am
v6
· 2 years ago
2023-01-31 1:43am
v5
· 2 years ago
2023-01-30 7:03pm
v4
· 2 years ago
2023-01-30 3:53pm
v3
· 2 years ago
2023-01-30 2:49am
v2
· 2 years ago
2023-01-23 11:51am
v1
· 2 years ago
v6
2023-01-31 2:55am
Generated on Jan 30, 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.
3518 Total Images
View All Images
Dataset Split
Train Set 81%
2848Images
Valid Set 13%
446Images
Test Set 6%
224Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±13° Horizontal, ±35° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Blur: Up to 25px
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical