Dataset Versions
Versions
2024-07-23 10:00am
v23
· 3 months ago
2024-07-23 9:06am
v22
· 3 months ago
2024-07-22 7:20am
v21
· 3 months ago
2024-07-12 7:20am
v19
· 4 months ago
2024-07-12 7:05am
v18
· 4 months ago
2024-07-03 8:48am
v10
· 4 months ago
2024-06-25 8:11pm
v6
· 4 months ago
2024-06-19 1:43pm
v3
· 5 months ago
2024-06-17 8:53am
v2
· 5 months ago
2024-06-07 3:47pm
v1
· 5 months ago
v6
2024-06-25 8:11pm
Generated on Jun 25, 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.
16596 Total Images
View All Images
Dataset Split
Train Set 93%
15363Images
Valid Set 4%
621Images
Test Set 4%
612Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 22% of images
Brightness: Between -10% and +10%
Exposure: Between -6% and +6%
Blur: Up to 1.5px