ai-slurry-seed-v2 Image Dataset
Versions
2024-05-09 2:17pm
v12
· 2 months ago
2024-05-09 10:40am
v11
· 2 months ago
2024-03-12 3:41pm
v10
· 4 months ago
2024-03-11 2:25pm
v9
· 4 months ago
2024-03-08 3:39pm
v8
· 4 months ago
2024-03-07 5:23pm
v7
· 4 months ago
2024-03-07 1:32pm
v6
· 4 months ago
2024-01-29 1:36pm
v5
· 5 months ago
2024-01-27 2:31pm
v4
· 5 months ago
2024-01-27 11:48am
v3
· 5 months ago
2024-01-27 11:37am
v2
· 5 months ago
v10
2024-03-12 3:41pm
Generated on Mar 12, 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
Choose another format.
616 Total Images
View All Images
Dataset Split
Train Set 88%
540Images
Valid Set 11%
68Images
Test Set 1%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
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
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