Dataset Versions
Versions
2024-11-06 4:41am
v9
· 20 days ago
2024-10-07 4:30am
v8
· 2 months ago
2024-10-07 4:15am
v7
· 2 months ago
2024-10-07 4:08am
v6
· 2 months ago
2024-10-07 3:59am
v5
· 2 months ago
2024-09-26 5:39am
v4
· 2 months ago
2024-09-26 5:31am
v3
· 2 months ago
2024-09-26 5:27am
v2
· 2 months ago
2024-09-25 7:08am
v1
· 2 months ago
v8
2024-10-07 4:30am
Generated on Oct 7, 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.
7652 Total Images
View All Images
Dataset Split
Train Set 90%
6849Images
Valid Set 7%
536Images
Test Set 3%
267Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 256x256
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Noise: Up to 3% of pixels