Dataset Versions
Versions
bullshark
v26
· a year ago
NewSuhaybTest2
v25
· a year ago
NewSuhaybTest
v24
· a year ago
FAIL
v23
· a year ago
2023-09-08 11:45pm
v22
· a year ago
FinalAttempt
v21
· a year ago
homeAttempt
v20
· a year ago
PERFECTION
v19
· a year ago
2023-09-08 2:21pm
v18
· a year ago
REAL
v14
· a year ago
2023-09-08 1:23am
v13
· a year ago
2023-09-08 1:15am
v12
· a year ago
tEST
v11
· a year ago
Sept7th
v10
· a year ago
2023-09-07 6:20pm
v9
· a year ago
2023-08-31 8:23pm
v8
· a year ago
2023-08-31 8:04pm
v7
· a year ago
mock
v1
· a year ago
v11
tEST
Generated on Sep 7, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1621 Total Images
View All Images
Dataset Split
Train Set 51%
831Images
Valid Set 33%
532Images
Test Set 16%
258Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 4% size each
Bounding Box: Rotation: Between -5° and +5°