kapal-api Computer Vision Dataset
Versions
Dataset Version
Generated on May 2, 2026
Notes: Augmentasi yang diterapkan: • Flip, Horizontal dan Vertikal, untuk mensimulasikan berbagai orientasi produk saat dimasukkan ke dalam bin • Brightness, rentang -25% hingga 0%, untuk mensimulasikan kondisi pencahayaan redup atau tidak merata di dalam bin • Crop , 0–20% zoom, untuk mensimulasikan variasi jarak dan posisi objek terhadap kamera • Rotation, -15° hingga +15°, untuk mensimulasikan kemiringan produk saat diletakkan • Blur, hingga 1px, untuk mensimulasikan kondisi kamera yang sedikit tidak fokus atau objek bergerak• Noise, hingga 1.84%, untuk meningkatkan robustness model terhadap gangguan sensor kamera • Grayscale (Optional), untuk mensimulasikan kondisi ekstrem mi
Popular Download Formats
YOLO26
TXT annotations and YAML config used with YOLO26.
YOLOv12
TXT annotations and YAML config used with YOLOv12.
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.
2623 Total Images
View All Images
Dataset Split
Train Set 92%
2424Images
Valid Set 4%
99Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1.84% of pixels