Capstone-food Image Dataset
Versions
fifth-768-
v11
· 2 years ago
fourth-800-gray
v10
· 2 years ago
third-800-gray
v9
· 2 years ago
third-416-
v8
· 2 years ago
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v7
· 2 years ago
third-ori-
v6
· 2 years ago
third-736-
v5
· 2 years ago
second-ori-
v4
· 2 years ago
second-736-
v3
· 2 years ago
first-720-
v2
· 2 years ago
first-416-
v1
· 2 years ago
v2
first-720-
Generated on Jul 1, 2022
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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728 Total Images
View All Images
Dataset Split
Train Set 87%
636Images
Valid Set 8%
61Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 720x720
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
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