Dataset Versions
Versions
2024-06-11 8:58am
v73
· 5 months ago
2024-05-26 9:00pm
v70
· 6 months ago
Dataset_pertama
v68
· 7 months ago
SSD300A
v63
· 7 months ago
SSD300
v62
· 7 months ago
2024-04-20 12:21pm
v60
· 7 months ago
Data_real
v51
· 7 months ago
SSD2
v50
· 8 months ago
YOLOv5
v30
· 9 months ago
2024-03-01 8:34am
v3
· 9 months ago
2024-02-27 1:54pm
v2
· 9 months ago
2024-02-18 10:05pm
v1
· 9 months ago
v30
YOLOv5
Generated on Mar 6, 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.
10710 Total Images
View All Images
Dataset Split
Train Set 70%
7464Images
Valid Set 20%
2100Images
Test Set 11%
1146Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1.9% of pixels