TACO_YOLOv8_fixed_1 Dataset
Versions
2023-03-31 4:00pm
v13
· a year ago
2023-03-31 3:58pm
v12
· a year ago
640 bio class removed
v11
· a year ago
2023-03-31 3:21pm
v10
· a year ago
2023-03-29 8:03pm
v9
· a year ago
2023-03-29 7:32pm
v8
· a year ago
416x416 strech
v7
· a year ago
416x416 strech aug
v6
· a year ago
2023-03-29 1:55pm
v5
· a year ago
416x416
v4
· a year ago
416x416 with aug
v3
· a year ago
2023-03-29 12:05pm
v2
· a year ago
2023-03-29 12:02pm
v1
· a year ago
v3
416x416 with aug
Generated on Mar 29, 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.
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3297 Total Images
View All Images
Dataset Split
Train Set 82%
2697Images
Valid Set 9%
300Images
Test Set 9%
300Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 5% of images
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 7 boxes with 5% size each