Dataset Versions
Versions
2023-11-14 9:15am
v9
· a year ago
dataset with trash and fish
v8
· a year ago
2023-11-07 3:41am
v7
· a year ago
2023-11-02 8:46am
v6
· a year ago
2023-11-02 8:46am
v5
· a year ago
2023-11-02 8:46am
v4
· a year ago
2023-11-02 8:46am
v3
· a year ago
2023-10-25 6:05pm
v2
· a year ago
2023-10-25 1:56pm
v1
· a year ago
v9
2023-11-14 9:15am
Generated on Nov 14, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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7504 Total Images
View All Images
Dataset Split
Train Set 86%
6432Images
Valid Set 9%
640Images
Test Set 6%
432Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 50% of images
Blur: Up to 2.5px