Dataset Versions
Versions
Bottle-for-POC-2024-03-13 4-26pm
v8
· 9 months ago
2024-03-11 3:00pm
v7
· 9 months ago
2024-03-11 2:59pm
v6
· 9 months ago
2024-03-11 12:24pm
v5
· 9 months ago
2024-03-11 12:21pm
v4
· 9 months ago
2024-03-11 12:16pm
v3
· 9 months ago
2024-03-11 11:38am
v2
· 9 months ago
2024-03-11 11:37am
v1
· 9 months ago
v8
Bottle-for-POC-2024-03-13 4-26pm
Generated on Mar 13, 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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223 Total Images
View All Images
Dataset Split
Train Set 93%
207Images
Valid Set 4%
10Images
Test Set 3%
6Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 1.76% of pixels