bottle_det Dataset
Versions
2024-05-31 4:17pm
v12
· 4 months ago
2024-05-31 3:28pm
v11
· 4 months ago
2024-05-29 5:07pm
v10
· 4 months ago
2024-05-29 11:35am
v9
· 4 months ago
2024-05-29 11:33am
v8
· 4 months ago
2024-05-23 7:29pm
v7
· 4 months ago
2024-05-23 7:21pm
v6
· 4 months ago
2024-05-23 7:05pm
v5
· 4 months ago
2024-05-23 6:40pm
v4
· 4 months ago
2024-05-22 3:41pm
v1
· 4 months ago
v8
2024-05-29 11:33am
Generated on May 29, 2024
Popular Download Formats
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
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270 Total Images
View All Images
Dataset Split
Train Set 88%
237Images
Valid Set 9%
23Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels
Mosaic: Applied