Dataset Versions
Versions
final1_2024-07-29
v9
· 3 months ago
no_augment_dataset
v8
· 4 months ago
2024-07-14 6:16pm
v7
· 4 months ago
2024-05-11 9:01am
v6
· 6 months ago
2024-05-08 1:22pm
v5
· 6 months ago
2024-05-04 11:04pm
v4
· 6 months ago
2024-04-25 1:02pm
v3
· 6 months ago
2024-04-24 1:05am
v2
· 6 months ago
2024-04-24 12:55am
v1
· 6 months ago
v9
final1_2024-07-29
Generated on Jul 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.
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470 Total Images
View All Images
Dataset Split
Train Set 84%
396Images
Valid Set 11%
51Images
Test Set 5%
23Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 0.7% of pixels