Food Detection Dataset
Versions
2023-12-10 12:02am
v12
· 9 months ago
2023-12-09 4:32pm
v11
· 9 months ago
2023-12-02 9:36pm
v10
· 10 months ago
2023-12-02 8:01pm
v9
· 10 months ago
2023-12-02 1:05pm
v8
· 10 months ago
2023-12-02 10:51am
v7
· 10 months ago
2023-12-02 10:41am
v6
· 10 months ago
2023-11-23 12:10pm
v5
· 10 months ago
2023-11-22 3:49pm
v4
· 10 months ago
2023-11-22 3:40pm
v3
· 10 months ago
2023-11-12 1:34pm
v2
· 10 months ago
2023-11-12 10:06am
v1
· 10 months ago
v11
2023-12-09 4:32pm
Generated on Dec 9, 2023
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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13316 Total Images
View All Images
Dataset Split
Train Set 85%
11298Images
Valid Set 10%
1293Images
Test Set 5%
725Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Blur: Up to 2px