Dataset Versions
Versions
2024-10-30 2:06pm
v35
· 2 months ago
2024-09-06 11:32am
v34
· 4 months ago
2024-09-05 9:05pm
v33
· 4 months ago
80 epoch yolov8s 3924
v32
· 4 months ago
80 epoch yolov8m-3924
v31
· 4 months ago
50 epok yolov9 gelanc
v30
· 4 months ago
80 epoch yolov9 gelanc
v29
· 4 months ago
80 epok yolo8x-2924
v28
· 4 months ago
80 epok yolov8l-2924
v26
· 4 months ago
2024-08-22 7:27am
v25
· 4 months ago
2024-08-21 4:32pm
v24
· 4 months ago
yolov8m-210824
v23
· 4 months ago
yolov8n-210824
v22
· 4 months ago
80 epoch-yolov8n0324
v18
· 4 months ago
yolov8s-090824
v14
· 5 months ago
roboflow modeli
v12
· 5 months ago
50 epok
v11
· 5 months ago
2024-07-11 6:32pm
v5
· 5 months ago
2024-06-05 3:24pm
v3
· 7 months ago
2024-05-27 7:48pm
v2
· 7 months ago
2024-05-22 12:45pm
v1
· 7 months ago
v28
80 epok yolo8x-2924
Generated on Aug 29, 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.
2394 Total Images
View All Images
Dataset Split
Train Set 87%
2083Images
Valid Set 7%
174Images
Test Set 6%
137Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 30-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise