Dataset Versions
Versions
2024-07-18 4:06am
v12
· 4 months ago
2024-07-18 4:00am
v11
· 4 months ago
2024-07-18 1:28am
v10
· 4 months ago
2024-07-17 2:29pm
v9
· 4 months ago
2024-07-17 2:29pm
v8
· 4 months ago
2024-07-17 12:06pm
v7
· 4 months ago
2024-07-17 12:05pm
v6
· 4 months ago
2024-07-15 11:48am
v5
· 4 months ago
2024-07-15 11:47am
v4
· 4 months ago
2024-06-21 2:09am
v1
· 5 months ago
v11
2024-07-18 4:00am
Generated on Jul 18, 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.
400 Total Images
View All Images
Dataset Split
Train Set 82%
328Images
Valid Set 12%
48Images
Test Set 6%
24Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Grayscale: Apply to 15% of images
Noise: Up to 1.45% of pixels
Cutout: 4 boxes with 5% size each
Bounding Box: Blur: Up to 3.5px
Bounding Box: Noise: Up to 0.1% of pixels