Dataset Versions
Versions
Full Set without Augmentation 2024-06-30 2-01pm
v9
· 6 months ago
Full Set with Augmentation 2024-06-30 1-54pm
v8
· 6 months ago
2024-06-30 11:44am
v7
· 6 months ago
2024-06-30 11:33am
v5
· 6 months ago
Batch 0.1 with Nulled-no augm 2024-06-25 2-19pm
v4
· 6 months ago
Batch 0.1 without Nulled no augmentation 2024-06-25 1-54pm
v3
· 6 months ago
v7
2024-06-30 11:44am
Generated on Jun 30, 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.
14564 Total Images
View All Images
Dataset Split
Train Set 87%
12722Images
Valid Set 8%
1233Images
Test Set 4%
609Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -31% and +31%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 2.32% of pixels