Dataset Versions
Versions
v28_ds
v28
· 2 years ago
pure_v2
v27
· 2 years ago
2022-11-30 2:07pm
v26
· 2 years ago
2022-11-30 12:54pm
v25
· 2 years ago
KeroTest
v24
· 2 years ago
v23 ds
v23
· 2 years ago
2022-11-29 6:36pm
v22
· 2 years ago
Pure Dataset
v19
· 2 years ago
2022-11-28 11:36pm
v9
· 2 years ago
2022-11-16 7:51pm
v7
· 2 years ago
v28
v28_ds
Generated on Nov 30, 2022
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.
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960 Total Images
View All Images
Dataset Split
Train Set 72%
690Images
Valid Set 10%
95Images
Test Set 18%
175Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Grayscale: Apply to 10% of images
Blur: Up to 10px
Noise: Up to 3% of pixels
Cutout: 2 boxes with 7% size each