Dataset Versions
Versions
2024-11-15 10:00am
v12
· 2 months ago
2024-11-15 9:13am
v11
· 2 months ago
2024-11-15 8:38am
v10
· 2 months ago
2024-10-11 7:02am
v9
· 3 months ago
2024-10-04 6:58am
v8
· 3 months ago
2024-10-02 4:40am
v7
· 3 months ago
2024-10-01 1:28pm
v6
· 3 months ago
2024-10-01 1:24pm
v5
· 3 months ago
2024-10-01 12:16pm
v4
· 3 months ago
2024-10-01 6:30am
v3
· 3 months ago
2024-10-01 6:02am
v2
· 3 months ago
2024-10-01 5:12am
v1
· 3 months ago
v1
2024-10-01 5:12am
Generated on Oct 1, 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.
7 Total Images
View All Images
Dataset Split
Train Set 86%
6Images
Valid Set 14%
1Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fill (with center crop) in 640x480
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Blur: Up to 0.7px