Dataset Versions
Versions
2023-09-08 8:27pm
v23
· a year ago
2023-09-08 8:24pm
v22
· a year ago
2023-09-08 8:24pm
v21
· a year ago
2023-09-08 8:24pm
v20
· a year ago
2023-09-08 8:24pm
v19
· a year ago
2023-09-08 8:19pm
v18
· a year ago
mine
v17
· a year ago
2023-08-14 2:11am
v16
· a year ago
2023-08-14 2:11am
v15
· a year ago
2023-08-14 2:11am
v14
· a year ago
2023-08-14 2:11am
v13
· a year ago
2023-08-14 2:11am
v12
· a year ago
2023-08-14 2:11am
v11
· a year ago
2023-08-14 2:11am
v10
· a year ago
2023-08-14 2:11am
v9
· a year ago
2023-08-14 2:11am
v8
· a year ago
2023-08-14 2:11am
v7
· a year ago
2023-08-14 2:11am
v6
· a year ago
2023-08-14 2:11am
v5
· a year ago
2023-08-14 2:11am
v4
· a year ago
2023-08-14 12-46am
v3
· a year ago
2023-08-13 6:24pm
v2
· a year ago
2023-08-13 6:23pm
v1
· a year ago
v16
2023-08-14 2:11am
Generated on Aug 13, 2023
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.
712 Total Images
View All ImagesDataset Split
Train Set 87%
618Images
Valid Set 9%
64Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -26° and +26°
Similar Projects
See More 124 images 3 models
0.98909855
121 images 4 models
0.9889182
0.9876137
0.98504806
0.9843668