Dataset Versions
Versions
2024-10-07 1:11pm
v13
· 3 months ago
2024-09-20 2:11pm
v12
· 3 months ago
2024-09-17 1:13pm
v11
· 3 months ago
2024-09-17 1:10pm
v10
· 3 months ago
2024-09-15 12:46pm
v9
· 3 months ago
2024-09-15 12:37pm
v8
· 3 months ago
2024-09-15 11:32am
v7
· 3 months ago
2024-09-15 11:30am
v6
· 3 months ago
2024-09-08 2:01pm
v5
· 4 months ago
v5
2024-09-08 2:01pm
Generated on Sep 8, 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.
1175 Total Images
View All Images
Dataset Split
Train Set 83%
975Images
Valid Set 9%
100Images
Test Set 9%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 5px
Cutout: 5 boxes with 5% size each
Bounding Box: Noise: Up to 0.12% of pixels