Dataset Versions
Versions
v8 x augmentasi sj 1000 50 epoch
v10
· 3 months ago
auto-oriented
v9
· 5 months ago
v8 x data 1000
v8
· 5 months ago
v8 x augmentasi data 1000 50 epoch
v7
· 5 months ago
v8 x augmentasi data 1000 25 epoch
v6
· 5 months ago
v8 n data 1000
v5
· 5 months ago
v8 n augmentasi data 500
v4
· 5 months ago
v8 n agumentasi data 1000
v3
· 6 months ago
v8 x
v2
· 6 months ago
v8 n
v1
· 8 months ago
v4
v8 n augmentasi data 500
Generated on Jun 5, 2024
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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.
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2369 Total Images
View All Images
Dataset Split
Train Set 87%
2069Images
Valid Set 8%
200Images
Test Set 4%
100Images
Preprocessing
Resize: Fit within 1280x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Exposure: Between -10% and +10%