Dataset Versions
Versions
2024-11-13 6:29pm
v16
· 8 days ago
2024-11-13 2:53pm
v14
· 8 days ago
2024-11-13 2:19pm
v13
· 8 days ago
2024-10-30 3:00pm
v11
· 22 days ago
2024-10-29 2:32pm
v10
· 23 days ago
2024-10-28 4:09pm
v9
· 24 days ago
2024-10-09 5:52pm
v8
· a month ago
2024-10-09 5:39pm
v7
· a month ago
2024-10-02 2:59pm
v6
· 2 months ago
v9
2024-10-28 4:09pm
Generated on Oct 28, 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.
4066 Total Images
View All Images
Dataset Split
Train Set 89%
3600Images
Valid Set 8%
317Images
Test Set 4%
149Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x450
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 20% of images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Blur: Up to 0.4px
Noise: Up to 0.14% of pixels