Dataset Versions
Versions
fixed_noshear
v71
· 10 months ago
Fixed_And_Augmented
v69
· 10 months ago
original_without_deletion
v65
· 10 months ago
2024-02-15 11:55am
v26
· 10 months ago
2024-02-12 3:26pm
v11
· 10 months ago
2024-02-12 3:17pm
v10
· 10 months ago
2023-12-12 5:21pm
v8
· a year ago
2023-12-06 2:58pm
v7
· a year ago
2023-12-06 2:56pm
v6
· a year ago
2023-11-28 12:12pm
v1
· a year ago
v69
Fixed_And_Augmented
Generated on Feb 27, 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.
4617 Total Images
View All Images
Dataset Split
Train Set 91%
4194Images
Valid Set 6%
293Images
Test Set 3%
130Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Noise: Up to 0.46% of pixels