seed demo Dataset
Versions
jung000
v18
· a year ago
jung
v17
· a year ago
yeonv3
v16
· a year ago
2023-06-23 1-12pm-bin-m2
v15
· a year ago
2023-05-29 9-34pm-YEON VER2
v14
· a year ago
2023-05-29 7-36pm-YEON BASE
v13
· a year ago
2023-05-25 4-13pm-bin-b1
v12
· a year ago
2023-05-25 4-11pm-hyeon3
v11
· a year ago
2023-05-25 3-56pm.dawon
v10
· a year ago
2023-05-25 3-36pm-jung-v4
v9
· a year ago
2023-05-25 3-32pm-hyeon2
v8
· a year ago
2023-05-25 3-28pm-bin-m1
v7
· a year ago
2023-05-25 3-24pm-hyeon
v6
· a year ago
2023-05-25 3-04pm-yeon-v1
v5
· a year ago
2023-05-23 9-45pm-jung-v3
v4
· a year ago
2023-05-23 5-12pm-jung-v2
v3
· a year ago
2023-05-23 4-15pm-jung-base
v2
· a year ago
2023-05-23 3-55pm-jung
v1
· a year ago
v10
2023-05-25 3-56pm.dawon
Generated on May 25, 2023
Popular Download Formats
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.
78 Total Images
View All Images
Dataset Split
Train Set 92%
72Images
Valid Set 4%
3Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Flip: Horizontal