Dataset Versions
Versions
2024-04-11 11:26am
v9
· 8 months ago
2024-04-11 11:25am
v8
· 8 months ago
2024-04-10 10:48am
v7
· 8 months ago
2024-04-10 10:32am
v6
· 8 months ago
2024-03-28 9:43am
v5
· 8 months ago
2024-03-28 8:23am
v4
· 8 months ago
2024-03-27 2:25pm
v3
· 8 months ago
2024-03-05 10:14am
v2
· 9 months ago
2024-03-05 10:13am
v1
· 9 months ago
v6
2024-04-10 10:32am
Generated on Apr 10, 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.
213 Total Images
View All Images
Dataset Split
Train Set 86%
183Images
Valid Set 8%
18Images
Test Set 6%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 98% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Noise: Up to 0.22% of pixels